{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Multiclass Support Vector Machine exercise\n", "\n", "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n", "\n", "In this exercise you will:\n", " \n", "- implement a fully-vectorized **loss function** for the SVM\n", "- implement the fully-vectorized expression for its **analytic gradient**\n", "- **check your implementation** using numerical gradient\n", "- use a validation set to **tune the learning rate and regularization** strength\n", "- **optimize** the loss function with **SGD**\n", "- **visualize** the final learned weights\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The autoreload extension is already loaded. To reload it, use:\n", " %reload_ext autoreload\n" ] } ], "source": [ "# Run some setup code for this notebook.\n", "\n", "import random\n", "import numpy as np\n", "from cs231n.data_utils import load_CIFAR10\n", "import matplotlib.pyplot as plt\n", "\n", "# This is a bit of magic to make matplotlib figures appear inline in the\n", "# notebook rather than in a new window.\n", "%matplotlib inline\n", "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n", "plt.rcParams['image.interpolation'] = 'nearest'\n", "plt.rcParams['image.cmap'] = 'gray'\n", "\n", "# Some more magic so that the notebook will reload external python modules;\n", "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n", "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## CIFAR-10 Data Loading and Preprocessing" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Training data shape: (50000, 32, 32, 3)\n", "Training labels shape: (50000,)\n", "Test data shape: (10000, 32, 32, 3)\n", "Test labels shape: (10000,)\n" ] } ], "source": [ "# Load the raw CIFAR-10 data.\n", "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n", "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n", "\n", "# As a sanity check, we print out the size of the training and test data.\n", "print 'Training data shape: ', X_train.shape\n", "print 'Training labels shape: ', y_train.shape\n", "print 'Test data shape: ', X_test.shape\n", "print 'Test labels shape: ', y_test.shape" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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k7Odkk7UYTEV1LMsLooFONrNSUYyVnrPFz7TFulQV15PKiO1TTI7FyABAucx5\nMKITtG7r2QZhJLzav6G2bHeuXfG+bDFaxaLiA8XYpPQMXbO3tsspbsnY25StBxHtEt90iYONIfxT\n57oQ+dlofK33qhW5BCT2o3M/Oo/vFIuy8adYm8C23Nu2tm8n6toDjhzhe4+NVevzSQEAY19Cxlzb\nffv2hWX1yXvB4nKsrxg7ZGXu2rULcSRjb3qdf24Ubq3aenh4eHh4eHh4eHh4XAY3BYOTtBDFPsnj\nm45/rauGliz0ilgbZxOs+eLfYFHh+WtPSFqCtwolWbXNAmPyzOafmw8V9iLf8T5Zg/oL5htu/uW0\ndAfqFhUpuJhV6aDUqCZGqbBhlrHlpeiecmJ5RoeHVQatXCvLS9rSomqWu1MnjgMATp89CwAYG6M1\n4r777gvLXJonK1RcllqazCUlqboFQcz5+csQW+GrerXXXh/J/t6NwVFZa9iTzmtUy3z+l6anAQCr\nS+xLGVnnTcEPZWMtOQZOnqQKX77APmmW5Hj8QVtxPkk3/aQlOclU9YIHDk7q+p1St9aS5o8exc1o\nv3zqg1jcwRq2Oek3npjCguQ/zNi7jjxrkrHsdttm9Te53IjtiWrJ/6uMHs1qecWRGDtcXuG8cPY8\nY66eO/Ys9y/HEt/L8hyUyTKbmlqun33hkcce6ahzRhK7Fntj224MTkYBjsk4nYLU1Qp5Wk2T6qAu\nZLSCjr8DUQyQWViTv5sx5avNwJihZH+OVNU6VZXi92PPL5Q1TxkDxTXFrMO5rKkdipVIdaqZNePx\nPWHMV2c8SDImKi51C8RYCtW/HmO/rA8PDBkz2zkWsrne1gknq3y9KCntNOv24F5auyfnuA5hfCQ8\nZ3iU9/faWXo/zMqjoi5GplE1a7uU5xKMnbGf9TLvb3Uparu8pjlj+UzhrBWGSLG+q6uKsS2zzUy9\n0Fj1wcHIOl8V42Ty29aHq3WLL+pt0OZSpiGfmEcS60bohZCYgDoYOqyzzq1D+iS9eaIpr/OEIHmC\n1TV5M8Cad8Jkq4QOQcZiX0XIyo4pvmeNjjJdR5KhsTjCZCycIT52rM3sHBs/e/fu7Tgn+Z66XtnX\nElvpJeMZHA8PDw8PDw8PDw+PbYObgsExBMl/9PQBtznL6loLaK/X7VLMdYiFqFVpmWw05GfckDZ6\nWSos/XzEzWakgFMRU1OUbrqT02pdlp6WdQtZjCeVV2R4mJYxU+toN5X4M6auk89aQjx++ff3cZuV\nxS6bNgt9Ay67AAAgAElEQVQij3/phVcAAGlZQ6sl3kd/PopxMGve8jyvm5bP8fISVUQGBkfXaZ3L\no5fHnLQqWNyEPd2WCeUnmEHLORTGfEVe6GFZgTOLi9pKCjTWWE3FGqS65OfpFb0aSTbP3FxuvynO\ndOY1CS3F6rvHFHuTMgUiMTENWT2HxOCUlNzRcoiUZMk8cpCJQI0ZabQi628KpgDVGS9iSMYAXI11\naVR+7SVZ1RvtztwrWVMlzHSyJqFFvR23shs7oD4SdFrNo75i/bQz5mbdeSmR8DOsg7mYx04zq3Mo\nMJTwq0+i3eNUuLREZubM8dcAAMvzZPAWF7i/KYWzTIyFqKdppS6a0lSa26efOgYAGN/BeKj77qW6\no1nUWy1jNixmwizZUT8I894kYnFWwHkqn8t37Lfnl8uvZYMMseR2HecaS9KripEpuYXMQKgWZzFz\nlhQzejiWb8rEtoyhycgsXVxhu1fVVgonQS7HhISZlFl/xX5mInuq5RAyLwDrQynFsRijGiZhtn7X\n7kwAGuUjAXI5Xc8U4vQ32+Z6VKBTM6BW5LV37qQHxF1H2GemZx8HAOwYHA7PmcoqH5xy0TyjWNTp\nktjllLF3Nvfp/jUXtOQ1UZCyaRtxlk/3p/V3ZZllppVzxuaRRk1xVRZDlLW8b+qvqYgNbKk+TbCM\nunJYVavcpnrMv2RsdJD4jeQ6qf3thIxaPM+XWzOvdGed2+usPRF7BNWp810krNHl5id7Tgn2x7YW\n/5OySe5qFMDUXzNBJ1O8ftU6vQy6vX9GOSctts3mps71IOkVcj1jj7fyGp7B8fDw8PDw8PDw8PDY\nNvAfOB4eHh4eHh4eHh4e2wY3hYta0jUtcBbktT5VFSQCwdZnFa/gD3G5ZI6XP3PNFex4c3MoKgge\nAIbkRpUKs4Ftjcva+Dhp8eVlS8zHR3rpImWZcznWanQsksStV1i/poITayUFIQ7ymFxG7hCgK8Vw\nP/cP9ZF2Ly9TWtASirXjyeJMAlUUd0a/lxfZFgOSI2zLrSGf63S9sEDJ2UvzYZHHX6NLSlVBni3J\nqw4Osy0L+U554Q3jCq403U9JBEe2O2nv2F/0f6PaiZSON4rbpSLXg6ZcKUxaNKTDQwnjTjej9SQo\nNydy0RsdfMWEnpspPeEiEO5WXT/x8Y8DAP7gD34fAJDX8x4dGAMQSQCPjnOMZeQCZPLBmSz7byrh\nUjQ0EEmvmkxwTi5IlqzRXJTMLXNNkrge8OkP/6nqy/rv3sdAz1aW91HNmnSxknia7HD43CO7lLmo\nISXXlsBcm3SuXO+sL4XPZU2Qb6dLgrmSRKrevGa7Wz8yiVRz+TCJ8MTfQ6fM9RI5XwFlE5k4fwYA\nUNA6cXBSUdcBt9MLxfCcuSW58IZyyKqF5qcXnqfowKGDtwGIJ4Ml7BmESTq7SA1HIgL8nZGrUMmV\nOs41WN8yOeVugf1Jt7bItaQ3FzVzUTb3pSjQ2hLD8mc2G9UlnTK3Fvpo5XNyqZR7W1/eAv51fI7t\nbx6WjZpcisMMi7HnrvHWVDJpuytzxXN6NWnK9dpc0aL757a/P3peJnLRDAUVJFRg8uqJRKUbhXJd\noqX637HnIADgldfOAwAuXNB6ODQWntMqcf0tSEL6sNzXAj2HUp5tMrskFz2tpTklsU4PcA7LKnWD\ny0X9rrzCPt2qaK0tyd2toGesZ5hRQtB0Tq95evUohMlSYyIrNc13ajMTF8gWlOCxRxd7l/DlCqed\nNaICne9zkVp03EUtUXbi95WqGHRWJSYmpU3ohmt16Zwz+W/Ni8nVKlFGVMfe14mkuEzkNdzpuhzO\n3euWsFbwJbzHhHvtmuMT10hKja+La+/JtiF4BsfDw8PDw8PDw8PDY9vgJmFw1n4pA10sX12+GsNg\nwy5f/LbHrtL94nbttZaCNddfU99Oq2daX9rPvsAA1tOnj4fnft3XfhMAIJfeWknj5RUG2ubytP4u\nLTGY0dRELS65WIxkogf6+NU+PMBEiBVZ6Oo1sSiSphwepexlWpkFc+ouebsHWfgyYnYAoKxgykur\nxY7rryxT0nV0kMkZTx4/BQB4+qnnAABZWc737KSgQZ8CdAHg/FlabIeGaHFvSSo0l+XvpLzw9URo\ngbLgQgXHZsA6ZtsK1K0xILdPxzUkb1qslsKyhsb0PPooP1qT6EBOlrYsTI732ghWbA6dbZ5KWOqS\nVrJkkGI7FmmeSjJpCkZeLbIvferxjwEAckp+NzXC/jbaz/ZZEbtSsaR0MkxaLH5bfcukfm2c5rJR\nHzN2J9Opr4EoL12nlSy4ii738rEnAAA7JigX/eynyVA18+zPj37TuwAAw5Jad0qWF1n6OyL8WV8x\nORl0ygjXtbXgcgtmboplDuVME5a80Nq5JlHoWpnsaA42KidJ4XQiOnVzZr6pSbbX69/wFQCA2QtM\nbpxtcm6bHKUFPZVbCM9ZXKFEuD3zhmRwTahkfkHB3zNkjA8fOQggkuDNSFrYZIzz8cR3uo9mghlI\nZzrbsi7G2W7XGO+WsRGxtmwnEuGa6EU2kXB0syjIEm91CQPPFZhv/aDViIQ30jkem3YS7VCbBJIU\nrlfIJPT1URDGxlurVdLfNcet8nmMjUxE91mVIIAxVLovmwNaUiwwS7M5CVg/NdGHVqSNDBcKFPDe\n8hndsxidailKSL0Z1Bu8n/17Wf/77jgEAHj6k58CAOyeIkO8uBLJkx9/6RQA4ICxzLsoZnFQa9hs\nS4m426zjnEQF8n1sj7EJtmm9zTq348yhmOk5rbVtrc9TEm5IKZl2VmIQdRNvEfOdk3BBRcIbABBY\n+8rm3dfPubGxYu8Nva05aZNCd53zf5JNSc4F3STlE0vt2vfFVOe5Sblnm54ijrLzOGvhNeXG/h2y\n1OE6l+o4aOOeRZtAyNB0btfI7Ydr7GXKsvXMpOoT87kxNCbfbuNseZl9bVxeEjYfBprD0pZgOqm+\ncIOZHM/geHh4eHh4eHh4eHhsG9wUDE6Ey3/2XU5qOfyqtVgOWSiTfveRBbnTpzcV84MOWZ2kNF7S\nTzGxfe2V5wEAf/kXHwIADA1GPrnrxt7Y13mPPq6Li0wklkmb77J8703bs60kdIiYo7oMWSVZv1Ip\nWpH6ZdEeUmzA8DC3VTkhL13itepVO08JQcuxJKKyIpmfdlWJPkcV35NNd8aXGNNkbWjWt3RMwvKR\nRx4CABw8QD/5J4/9FQDg7MIp3WuPMTghuj/XjSDoNOAgpX9ZgrO+Bn2xzz/9ewCAQbFlq7L2za1E\nDM4bv+HbAADZcbJcF0usSVbxFGmZ2cxqZEzi5aQc1x8zV2taWccXd41ljoiSBhL5fDT1hEn9ZP0p\n1mhZ/MM//UMAwOkzJwEAO4ZpPaqUaE3KTVGOti2/9gvn6BPfp76WVl88v0iGZ2hshyrXOb6BiKkI\nk3+GMq6d0tWxM9ArHnn7NwAAnv4imZxzF9gXxvfRupvKGEMqizQ6rWsdjGVoMWP7VmXVLWgsp2w8\n1jvnQ5sfzEd83diskHWw45prjg//rbqk0ut0guTx2Ny4NaZvYifHx/jUTu5XcRlZESeOROf0TZIN\nfeLzXwQAVGqKVRTLUhej89prZHr27uHxg7K0Z8SMW7vF45+MFcukOyWdNVyRzXN/n/qQWUNNXj9q\n06ihwmMSsT5p8xLoUULVYmsscWgqjC2SlV/MTtCK5qNsmnXIFTQPKbaoIt3klLP4DJa1skgWrFoR\nozbO8enaHM8Xz0cMx8AgvQMyYuoHRvi7neLvmuSJBwf4jCvyLrCUBtBzrNXiiT55D2Z9VlExhq23\nMZtTuXfexn536QKTUldX6T2xZ4gXeurU2fCc6XmOw3xVfVbtPzzJOczYWWO+ayuco7JiX5pVtqH1\npUoxYp/qFY1/HTOiOKTDQ5Kmtmc7xP5Z1Dpf1ZraMN3rdNQe6T55C9QtjollD/Tx3po9xn7FuHwA\nUQyfzWEpJNleY3gSrgDoEieS8PyxFAzJuTpiVRLsUdCZSLkdrL2mLhz+sx2em/BYSJwa8wdCr4jC\nZhJvmmGM0HonWF3Wv3Y7rHdncJTN3bY6F9XHPvH4ZwAAj7zxjQCAvUoYmlF8aPJx3SQhOJ7B8fDw\n8PDw8PDw8PDYPrjJGJzLI/4FH1mE+c24OEt2weJeLk5fBABUlUhs3z5a/3OyGOWltDQ2RiuT+RTG\nyy4otsT8nsNkf/rqrTdoZXr1lZcAAJ/6xF8CAM7Lkvz2r743LNN8qANZ4c2XPXZ3l7/5dbBrF+s/\nM00LUEGqZJm0JdiU0lg2ipMZ6Kd18t67HwQQWcsaNbMs8rhWXXVVYrGGmJp+tUtWyTyH+iyhG5CR\nBSAv3/VKkbE4MzOXVCivcfDgXtWflrvb9tE6tnMn/Zz37J4Ky9yzi773C/OzAIDjZ3n9U7PyI79q\nBodwSemQDSCMxwp9WeVTrniQnYN8HqemTwMAzlx8AQBQqdDCh76I5RuV3/N0kgYJq9WdSUzWP24R\nXntPCV/naxTOk4xXszFlCkcnTpwIj/3IRzhuTh3n2J1TAtfzlziOdk+xT5jqVKvBsm47eBAAMLGD\nVvez5znmF5XANiMGpFgsWWUQ/0c8SWD474S0TpJ52goM7bkdAHDPo7TiPvgY61kYpN+9xUXUQzWo\nTjNhuxWxm4EsaJZg93MfZbzSrhGO8fse5hj/wheeBAAcvusBAMDk7n0qwa6heAuz/tpzC1mWThWv\nTmuq2FjNF1kxUNZ2Fs9iFtJGOPf1Nm5D1l3lp8TGBIkkmQBw+J6jAIBXlRy0cp7rRKPOuczm8GeV\nRDbdlrX+Lp43NsH5dWSM49SUJgEgK/W+pNKZ1cfmfKtPXUyCMU6BJXqNxfC0Q7ZHsTIJJqfV6vy9\nUZQrnIcziktpSU3OFLcararqFPWtvNS3GqL8n3yGsaU7d4tBm+QcvbhAJqOkOMuc5v7RYa0Pg/sB\nAHOzs2HZGbXZzLzUPrNSkJQzgIndZTNs70pVbaxkleahEW+fjOpbUxxRWTFC1h+DHtvuyJ4DAIDh\nDMfnF59kX1m8xPt9/mX2qaVabFxqLZ1rkLVKSRVtWGvm5ADXhYEBrn+TU7zhBSUpPq91c1FsSzuW\nqHsoYFn37OU7zUEx2Tt1jcGsVCR133UxiYtq3JMLnCdPLEVKpat67nmLcbIkyxbj1KMCXTtUX+w0\n8UdOMWGQY+dvdCYsjh2yVj1tjduAvHSCVuI4iy/pnOuTyY+j0BzX+ff4JRK/1+y329qKBdaaLrns\nrxMIGqmtRmuXrSHt8J70Dqt4ZkuEXFYi2pIUK8uaHy/Os6987kvs+4cX2a/7tVYd2sv3uYH+Qsf1\neveN2Rp4BsfDw8PDw8PDw8PDY9vglmBwwriZmBXj3Hkq6ExP0wL04otU47p4iftLxVVtacXZuZs+\ngw1ZcSpl/n2v9u/buz8se0LqRqY0tLRES002Y3k1aCFZmKfl6tSZUwCAOf3OyP89l4sslOUyrcqm\nOLMm+U+PX7eTU7QsTk3SIrs4L2WbPC1D5ms/MzMTnnPowN0AgKN33AcAePnFV1gTKXuZEoZCc7Bj\nhO1hCkItqVKNTnH/ffe+Liz7maf5hf/Zz3waADAuJbbb9IV/z+toGX307bx2OsM2LqitVpZo5Tt/\n7mRYpom9vPwSrdBzs7TsD/SzLa+FlX3DcObHKwu3tiVZRlIjfD4Hj94PAPjIC18AAJQVR7Lv7tvD\novIj7INGOOTM797U00wJS8dbTMZGEvkEazyTrzVkIRaT9cILZK5+7/cYi/Tkk0+GR87PzXVUrS6r\n4egEGQ5jV82Xvk/P/fQZ+rwfveseAMC+Q4cBADOztDbNLrKNX5XV3sa1xXl1MDhiMkzF6lr2qaLU\n4fpHaJ0O9PxaaisoLiSZE8UQz4VSVy6rpmIoCrLQL18gY3jc0RIclGi9zaioon47xRekwq3Fppj+\nmiznqU5Wpltsl+2rQdcSc2GxM+bH3wjbNo/NIHnNIIyjtDpyvymExc9x+mNbzzkty7/lCWqr/T7/\nKfqaP/l5jtOBYT6jnbvIEu4QewFEDL8xNP3K8ZWXlb5feZZGhjkHDoqhs+2QyrbzgKh9k/leDL0y\nOFZuyGYolirJFFWrUTzlqZNUP5u5SGY1aEt5D4xlW1nh31OK5ciq/5pC5JlzVL/cvZtz//6D0Rp7\n5hTn9+IyLcGjaoNde9m+57VeBVIbs1iNlWX+zslTIRtTlbP+Zc/c5hFb84Me40gKYhzPnmCdz16a\nBgDMLDC3WzbL5z2ybzw8p376AutUUfxLletyucbJvVnjOWMZ3veeSd53oDw4Z5a5Ds5Lwa2/EOX7\nuW2U89hUQep18qwoLrM+S/NiKTXn9w1xHr1T7zr79/GaqWrUl16s8dyqnmFGi39Nz6dUihTXNoOw\nF4dLlea6tQEj2ibWKbf2kJABXROT0skStWqKWzJGyyaIkBGxOSGBxHx7uViW5Htc8sitYHCsX4e5\nsELmyeJExaC3LMaq850kjrL6ir03L4p1tXfXkl4+GpoX+ky5VudnFdM5M8+xvzzH/pHTGn3kEFlF\nFzL98fvvXM+umEtnC+AZHA8PDw8PDw8PDw+PbYObisFZE3KQ0PX+0lNfDI/95Mc/AgBYkb99WWb+\nlqxMZomqVmiJLCkWJy32oVnn8fNztHa8+MKzYdn2RW+KNnX51mblWz1i+RbSpkzDa83LT7EgC95z\nzzwRljkhRZnXv+FNPLdTgr1n98TxMVpnsinWKWjyC/z0KVqZ8rJ0NeqRneKF518FAMxdUqZt5RyY\nUh4WU2Dq132Ui2yrpvIi5GV57Muz7PnZyJfXjt29kxbPPbupgtMnNZbRUVqd8vK5npkVEydlmkuy\nPJ85+UpY5u7dtBieOXsKAFBVzNDu3bIWbHkvtofTaSHqClNuSej8tzS0LpbYtoNHGI+VGmGbtdp8\nPv2xWKPltqwlTVNPa6hMdJQZKsysSQsdrK2uksKYak0QiuerrKtkdJJWdbM8m2//sWefAQD8xE/8\nBADg5ZdfVtVj8XRiDYZk8S4pPqIqhSTzt8+JucnLp9yySZ8Sk3Pkjjt5nPyCp2doed67h5bjUY3b\nWP7u6D5sr+tsy6TaomFtvq2NY6BN9nh2WrFCA6xvW2yg5bQakLV9WLRLoyV2MO5b3qY1ttVmGXfd\nTXY2vczfzz7FOWj/V3w198vqW21yDGV036lQPU4sS8v81RWbI3UnZI1hiCkwWR9om593J2uS0zwS\nJlsJeou9SSXVyhLxZaaiFMTqVlBfOKB4rUsXaLkMM3lbnRUPE6byEYu2Iit9RRbss6fORBVKWqXD\n+BnrS50xQXk917z81Md30BJ/9z13h0W+8Y2PAAB27uK86ZDohz0mYMrnO1U22+1ONTXr3tVG1LdW\nFmndbUqB78B+sgzlVa4bmZwYHY3flCbinBS55uSnb+xiv6zBAJCTJbilvx1/lWuSMUrTirccGSL7\nVZLKWL1hSllcX9qxvmRj2HpFLcyXxnbvNVbz0iz7zJD6scWnjO7m87PYORtTANCWSmTa8i61FBck\n5r5ak+JZ3hgo1n24wPPu1/NP90lJMZ43zGK52spHZPm+dP0FKXTW9KzrC3yOq8plcuSI4iVqMfW+\nIuu3FPDZllbEOIl5avWYa65l82gXVTSic611yTiYjuvKk8eYAIsTVJxS03UyxsVV3ndKfd/UNV3I\n3CTWzXWmdNdRaYthSfwtnDi4CZmDq2ApjIieWSBbYjm5anr+yyH7wvcvGztTUxwbw8MRo2jx48vL\nqyqT85rFWA2IZd4pdTRjlec1hlfE7Jjaonki7dnPtbWssVatcduXTbxDIfIMup7wDI6Hh4eHh4eH\nh4eHx7bBTcHgrPGtXvObW/PlBYA3fCUtXefO06I2I5/ChTl+zZalQlIu8Su3WOQWYd4Hy5cjPf1q\npDNfESOTlgU1p619f16aoX9tX5+s8WJ6ysr50t9n1rJDYZkHD/LfkfUg6WPamyV9aoK6+gN5Wtcm\nhmkReuKvmJNncEBWi1RU/vRFttFrr5A9GZdlY0WZwqekGDQ5QUbHLFODo7xWs8T2ePl5xe60I/WY\nvgFay/bsYX1q8jleWKRF7uQpWpFm5xmrU6vQOlFeog/o/DTja8ql1bDMlDT5+3K0KgxPsh+UQuPO\n1loGIt9e28SeTUI33pRKUoHp+kvdR+eu1jjEBgeoxHP0KGOQps/wGRxSbh8AGBnksXcNsk/m02IQ\nW7JINXjt5Rp/l6vmc2u+uTac4+3R6tgmu9saMb9NIulHa9bqEyepWvVTP/WTAIDTp08BAIbF/nUw\nIqpLqIrljLFQvJzUkCBr7oCYnrIypZ+Retrx02RyCrIuLSrH0P7bGSOWSStvR9hf42Ouk+FqJxic\nZI6hq+G9imc4NvftZZ84N89xeHHmFAAg5Vi/PsXBPHY7+8jgMMfU6ZUoFrGa475GgRZfi4PYI3bg\nhQznonKabZaWkbkFWeFNLc6aROe3jJVQ92lLSavVXKtUlre8TOb7HQpcdqq+pUyFsrcwEkzuOwgA\naDaMObABarmz1j4bs1zeoQH5/Itk9arLNr+or6msjGI60glrf1qKfKnUmjzoYVZw8zsPY4PUeJY3\nrCZlovYCazhzkWvWqeOnwzKfe57j5lve9S0AgNv2Kh60aWxub3NdRj7yNVlYLf+KKRPmpAiXLkcT\nwtAox+rkmNpEf7L8P4uKTe1TLFK9zD6Sk6pmn9bNOa3NE62JsOzx/ezTd97JGMTXpKq4KPZheIBj\nuLjCa5w/w3V+526OmarmhMpStE4MD7IeTa1XLbGQTT2zQi6KddoMppdo7V7U/NHSdniK3hPmQVBc\niN4hLE61EbAuCnlCU4fUKmQEgyGtz+pWdSnAOY2lVlHPPV4hWd3TGT6zwiDrkRdzlhHLWpHXRk2M\n4kmtrVAutsZyVN/VGbb7oupbFWtnb4gWG9Qr1sTsrcmfllBTw9qxnBQTzem9oKB8RAspznGuX8/F\nVBz1LtESaxjGGGdMBfEKc3qXnF9h7UNmKsECrQ0h2jQuSnXw8S/Qc8nm1SF5IlhclI0Fi/0bHOVz\nH89GMY72vmvxq3cevYv1U78L45OE0HvJ1PU0L1qMTtrmQc2r43o3PHGScWoVxedZ3DoA7Nt/EAAw\npvfL+BpyreAZHA8PDw8PDw8PDw+PbYObgsExdMvEzv3c7todqbDsUDZrs2zVpdzSkIWqVCpqSwvQ\nJSmffOQvPwwAeO3Eqx1lpzORGktfaD2QX6gOeuCB1wMA3v7VXwcgskab3v7p07RCDcrC/Na3fk1Y\n5uSOPR33uH6G+c1hcIBWqcE+1iWf4Vf8LrXPwqJ8yKvF8JyCjl1cqmjLY5pmFZPv6soq9xeG+NUv\n4y36BmghqSljdTYbfSeb0tXJk+dVNq0rphyVSvE55fIsY3mO1uuGVOYGC/yqH9qxMyxzYgfvZXGV\n9bt4gXFTI7vpazo0EOWm2Ao4yw1i27iSi1nwbSsiIg32u/ECzxkZUPyEfKin0mzDhvL/1FdlHY3c\n0nH7ABmIoCHlqxbv15klZoA+teWAltDZMss+vyqlvLLYyFZcnSqv+ko9KW0WQdY33b66KSCMuZGl\nZkl96Zf++y8BAF59lSzfbqlPme6+bQEgJ5WbivzA+5SZ2+mQ0FIllrVWZ6PNq2+Hmcu1NebHcpZM\nKl+HjbjInz0+BjvHZXJ8rp2Tes3sDTz3yb8AABx54CEAwMsXaPU6d57W+0nlsNkzxvrveJD9fHRI\nMUkxBqdS5VgoipoZU8zMkKzn2X6W0dA9l0rqU2mO3ZrNcc7mP92XLJOpkF5TxmqZq9tBNOZNrckU\nGy2uoyHmJqhZnI+ucLmYtsugICWpVtZyiVmuoox+dzKAQGTF3buX92dKesenOS8ZC59TLETadSr9\nXKkfdDsmmU8jVHVS7FRb1vmMsfnNiNI6JaWuP/mjPwEAfO3XPKZ7lBKd5al5y5vW1ONySJ5vDFVT\n6mnG8Pf3R+tgw3HuqKvPDGhc2ng15TVjVBc0pp3GhqnHTY1yrm/F8jc9f+wpAFG86sQOWnWXV4sd\nZdrau2uKY3hkiOvdRamFVstRmW1dP29sg9Z0i8fty21Otc9QExNUUdxuSvl2TJKwX14LlVqUD26l\noGuLEW1qLbH1uiCGxxjXjOrcEPvUrPJaphyby0XztIkt1rQ+tPQsy3oHWlBsRl1jNJPlc7PYjVOn\n2cdKlahMJ0W1eoNlprQOZ5SbrZXqjXZdM9PaP6y4VHeqw9bcVGyesWMyimfKrpAZrIghnFvmcx67\nk4z9qN5banr1qSj/z2ieBQ1Jua6tdyZ7ziYuZ3XoYJHWFSO12LDkutA7h3P6Iuf2lmIPbV3MFDg2\nbpvgmDBPo6qSRwWiZeZLkSLiQIb1ykuttqJYmrYlnAos5rJTsc2UMG3eGBX7MjzCMf3sMcauZ6Wk\nePzlFwEAf/6nfwQgypkIAAcPHgEAvPOd7wAAvPnRRzuumUoEpq/NFbl5eAbHw8PDw8PDw8PDw2Pb\n4KZicNb3L15rcTVf6IIsDX19svioiMkwcyu/Du+6h78ffvgrAQDPPc8vz4uX+PXfbEQWZVNb2Sc/\nYYsNGJfK2OHb7+xaX7NQ2V77sgYiK3OkvrQ1cSPZbKeVanFRGWilKrcslbnxiZHwnLR0+8elwb8q\nFY6yYo/mltlmS/JdPXQH/aQLyr68YxctB49/5nHeScwi25R1ZVExN6tF+S8vySczyzbateMgAGBQ\n6mr7djJGac9OKqbNS8EHAI6fYczT8VPKei01nmGxPM1Gj0796yB6QrJ6xp5VaJyVU/WQ7ufQBIfS\noVH2lSHlH0m32IZL02T3lpd4DwX5i0+fOhaW/ZJiCwbzlsWZVhbLszA8yvsdGCMbmO+nBWpUqinj\nZfaFs4uR5abU4DNrttnOpgAUSKGtm1b+ZmBjw/rfb//2BwAAn/4M84lkZOXMSIEwo5iQajXKq5DJ\nKqAIPNcAACAASURBVC+D2KVB+aU3VyxHh8XLcWsZ4fvlp39BsQyTO3jegKnlpHnPfQXzzRejYPE/\nHUOwk7lJqqclLfpxpa7NorFI1vJzH2XsRb3Aa1QrHKuXirJq99Hi1We+9RlaV/dORHapvHydT0zT\nKjs2LGa0bFZmbXWvtTL7ZV79NpBqWltxP42UqWqp75m/upYKY8nirIW1TdoYFdeZK8f6iLF2zXRv\nbddodPYH8+G2MZkKGZ3owVod7NixMfqKR/lk7O9iLsK+1jmnhP0gFjvm1smVZPUwBSkrqyWmJjB5\nJLU9Ynl7bN+ZU+wb58+zDxw5clj3U+t6zSuhkYhbCkMJ7flqnRwdiFiI3Ajn4plpMYYWVyg23ljM\npUWyYaPKebZDzHr/IMe6zTCnT54Iy64oBmVFMTb7Dx/kfrG003NcP/bsIeO9axfr4mTNHlJ8SaUW\nPSfLSzQ4zG2gvty8yuXB8iql5KnQNyj1VPOKaHDua9ajZ+O0VtalnJcSM3bbbQdZR6mstRVzs7zM\nbbFS1H4xN5a/qB71tVyoqqh5Q7FQlnttcZVrzojiIqZGOE/2a8o9e4nr/VIlKnNsgM9uuaq4nX6N\n9wLvNZ3p7VUxVPwMKRkxpOoU6aRHhJ1nimkxptz67niqqqK4vSBFwJ2D/PtIi+8cZSnBOcUPTmbE\nbivHT0VrcWuEfSyn9z4nisyYnA5Oxua/sJ7o+FdyWUhdRbRmWozjnv18N8qLxcsolgiKbzaPhJb6\nzPGXyY6urEbxaQ/dTxXXPXuZL7Gk90OX6lz/I1ZcucXSxtjzGufOce06f54eOi+/xHhSU01blOLb\nxRn2sW/5G28Oyzbm99nneM5DDz+s/fIusTpsYUy1Z3A8PDw8PDw8PDw8PLYNbioGZ70YHEO3/ZHK\n0TpmGvsi1c+REcYxvPnNb+efrZy4T71ZHvVFH36tB92tvFavTJgluvPvnXW3MrpXd7Ow2JvpaVoz\njh2jD+T4JNkmU1CZmIoUbCq1ToWUYeXoKZuuuqxqI7IGH72XeRr27KOl4y//kjEEplgXl0VaWOK+\ntjT6zRLcbJl1nlaJvXvIRtxxmGUuqaynn2XG+8XlWOZkWfjrbbZvZZX3uiAtd7fliXBk1ZAqWTpm\nhclIBmdygM/2jine+23DrFP5Att/cY4W2GX5/b4mdZGZaVpAcn1SuinOhWU/8/TnAQADYqgGh2l5\ny8hqOTDLY/ftZ9sMjNPa19fPdjiSp8VuJCLrcHGV7b1cZexBscWya4q5CNZlTS+PmI0cAPChP2PM\nwG9+4DcBAAXFNOS1nZ9bUN1YuVw2shTXxP4MDBX0N+VPEevTL+UXJwuQqSIZi7JbGbpnpmn1Navw\niJitMOmU5U8xFitmbgtVewJjNLrHYHQb25vF+E7254wY36byiQxWeZ+VJtthWXmAyrK+F4whTkVj\nY2yVlrQ7Z9i+Q+NUx/ncJaoilSuak8q05rWr3KayHI8ZxcStlsWO9bEPmaqWpRkxdbmc4l3SMdWd\nRkJBKC1rramIpSw/jcWB9PemnmMMjs2lxshZ7rNU+Hyj3mlMf0b7xsc5D1rMmPWBdiLbfZLBs/2p\nZhTzYayQWTutPpa/KUgq8CXqlA7zAsX6YdBpjV1UnJkpACLfm00yyaY1FQdkYyFt7u/1iP21Z9wn\ni7GxrgXFLZUUq7m4wHnJhkRdLNRQhXNNSn84fT5Si9ujnDrDYltHJ7gGTewgU1Op8HmsaE1akgqq\nWavzA5zPLN8WAASmejrMPmxtGbQsnqy3uc7mBGurIbHvK8rNU9NaFzeGp1SXltjjtBidgljnlliF\nJa2XVcttovs09alBKUJm81Hdc87GF+9rRbn+FhV/PGcxRza/BcYcWo5AxSnXozLTKt8UYxv2ntKy\nGOfeaDDrE6FqbEuqci2bEzQ+1desd9sYbrmoUfPqV4Mqq5Zj2/SNsu8MyPNhdYFz38IiY1gO7GLc\nSK3Be1tUTsRaSwxcVcxPv9bd/s641Wor1k7GaGjOCeO07X7RORe6q3rR033quVpXd4rTWpWimcVZ\nDmsuxxm+R2RKkUpe4V4ywQ1T52vaWtKOXyp8502B8431Q5s3bD5clWfQwQNUNbRYukH17z1ak7/9\n2749qoPmjY98hDksF8T2TCm+LnxXd51tejXwDI6Hh4eHh4eHh4eHx7aB/8Dx8PDw8PDw8PDw8Ng2\nuClc1K6U6PNyMHeF5Ha9azQTbmVGvQUxLeBQtg6dcqRXulbSZS0uc7dVstBJ7N1riSJJl6+uMinU\n7r2kJB99jDKjS8uL4TlZ0d4f+vBHAQDLK3SDGBkkRZuVW9GefaQZjxy9AwBQlxDD3AIlt2fnuG01\nI9naUF42bS4R3J0RFZ0vSE54kdT8F/7qjOpN94dWWydkI3nBVE4U7CjLGJsk5fw1X/tWAMDC4kK3\nptk41iTv1E+FF2Zigb27B0n/H52QFGqLLkIVJZu8+OozAIDFGbqizcySJj9+jgGNVZVVkNtRPhVJ\nl64oYLw0Q2p5RJKM/aJ/R/vp3pWXMEOg+hUksZ0VZT+S6wvLzBfoyjGdIt1+TkIEjTafdcv15npg\n7h5lBcX+5UfptlhXwOdAnnW1gPOmuUdIWnxwMJL2XpWrS16S2k0F3lqfCbORyk3H5dgebUldDigY\n866jbK+qzkdermAmsWquSyYDGo8ITeadWyMLnZSR7t1FbbrJ+41ya7LMXF5B+BpPK0tyRZAby7jJ\nsccC4M1zaXQHn7m1ycIZjs2B4YOsr1wrg4pcRtVn0nWWfeZV9tfB2xn4ufO2QypP0tR6fgUlx4sn\n6jPZ57RcCp25pcgVxILqc5YQsrc4eQSJgN1Qdtiy6oYB89G8m4EFy7L/T0zSNTafV3s17f7Y1iaL\nasl9Uy2TdrZtJEbTsHPUHyen6F41uZPXMFe0i2c5x81e4hxh7ePkF9bOxMRzJPZgz9jWq8BceFK9\nLdlVNbqDJQXm/ra5HrU4LoNqJO7SJxGaXTvoQrKoNcTEIiy1wtQuuoJWlehzdpr3OTPNiwxrXZmb\nj9xxd+ygq2BK9768zH6Yl8t1SgIFCwt0O221Lekv76PUMBnbHWGZ7XBsKjDf3BCVxTbtOgOqNwyT\nSNZitrTEtnJ6fcpJBGRxaT48JZA7NeSWE+T5u6hk4JVljr+SuY6qC5uLmvm7mcNgthH1kYKeYUvu\nRstySTu3xLn4VFnPuqhg/IDPrVjiNctVk9WPvZ/oHs31qiZp/uwgx3utGrlmbgYZzQ12qapkwM++\nRJGnYqUz2D0r+ewhyWwfvf1wWNboIMfZuQWlsZArclrXKJd4Dw31z6+8m65r+0fZuF88wf5ZbpiL\nstzELzJlCPTe0xrWuqv3pOLiSliHnFxcW3JDrSnNQtOSSMulz5QJWqGAyK5uzXNZWDLYmhIFD0hQ\nq6bUJ3WJQlXVeUazrOdk+RQAYG4h6o/5gMdaCgVL5xF35wUAp7IaErKYkQR33dzI+zknvPLSSwCA\n2/YzxMCSwuf0HO34z372s2HZe/dR4MAEiY5JYnqH3FIffvABAF0UuK8CnsHx8PDw8PDw8PDw8Ng2\nuKkYnCuJDFzu3PV+h0gwNtHxCrqKBQ1H1llLbnd5Vmg9RudasTZxlMsKKFQSvIffQAvsJz9DJufk\naVoPXSayXj3y2FsAAO/86+8EABx7hqzD3EVay0oKnizrK98C0c0AtlKkRWhZjMPg4EBYdjZn15FV\nVz9rsiCWZZVYWmQZqYDWloLYiXSO1r7VcmSlXlEyt5EJBqbedc9RAEBFlqq+fMT2bA6WGCsR1CZW\no61MkxODkfXq8Dj/PVyjaEBtgdKnM5dOcTtDSesz57k9re28rE4Tk7JQ6pqFvijTZ71EC82CRBTm\nLKg3x+dQySuxqpqmqEC//kFaT/oHGFw7PjIVljk8xeutZiRbneHvViN6Zj1BjXXmDJOTzkyTqbLA\na0sUVlX/HJeQhVl/TXwAAEpljkmzdllQpW0LedY1DPAPZXclbayOOSRLcZ8S8M4syTqq8Zy04MbH\nZy9zT684NytLvpipoVHJZDdp3UXTAj+V2FJBwkbcNFYjCiTdZ8kvuX3puVO8xmvsnzvfdBAAUG2w\nLQqa/gZk1U7pWrvHKCiSU8JBJ4n4lKyjORmkC7IEomO+NOYEKlOCBGbFbOocBTX3yn2l7cyEVKsF\nxkKW+7iUc0sB4A2TQR7nGBlSEsCVRVm71zB4KjLUoNbvdHTg5B5aZe9/iHPu6+67HwAwOEoLsFlH\nz53gHPEHv/3bACJBFZPgjgtWWOLNtCyhuyS5nJFl24QWNouQlbZkqCmTOw//oONizxW8lsmUB+C4\nuqh1oiqxmlTKPB2ULFSdxSy1NuriSf9KYjIWFsk0mkbQ/DznyZSSG9cbkoOWFfvQEXoT1NrGFsbk\nk9WedTFJTsx3OrNWfGIzGBo1gQBuV+RtYOR3VXrCJtzA+2F9W7r5hjwazl/ierCoPiAVaYxr/AUa\nZ7NaW1fF+A/FmLu0+nlDt7MixvdMkfWaU9qEYJplNLQmp1WHtgLl428nbYlLZMSoDfSz7UwEoFyr\noxdMXyQz3FK/CkzMQ3/PKFlpTczyktaLBbHy4yPR+nhpjve9qBQSxr5mxW4O9LHOIzk2zJBSVgwq\ndUZ2lVedafNdoyEBJA05LBqtWefct3NMjF0lEt545hjZnoYJPLTEAqk/towZta6g7Y9+08NrG+cK\nMLl703NpyTPhxWefBgAce5Zyy2XV4W13co3tW+L4rK1GbKzJkQeaP4wRNQGQkP00CX5d1LwoTO07\np75T1DvijNKsnJMw0qHb6FH0nne/GwCwrMTfAFAs8TmYGMvp0xQdWdS74H6d2693WfNcSV8FDeMZ\nHA8PDw8PDw8PDw+PbYObgsGJcHkJ5auyrgadVr+oLGNfYseaAdUshS6RpDNUnU3WZzMS0FtjKR4Z\nGtOllRhMlvHH3sIES+cu0rI+Ox/FqczM8gt/epZWpN176Uf5wAOvBwDMS4743JlTAIBXXqPVYnhI\nfusKYkhJtzCVje7FfMZX5Wtr+cF27GAsyB2HlaQyLwlDmayMwWml+NVeiDFtgaRR6yJSlpZpPaiW\n+eU/PBzFc2wOrKslv0zJOb4gq1l/hlarg0OR9apQIWNRW6Hlsa77nJthO585z7+fPk/LxrwsGE7W\nM7MC9vUppiEm+1qz2Br5b9dLaldLZCr//xPnyMpdkiVraIiMzdg4ff9v3x8xTqNTtOqMS5b6kqyN\nS/K1bqV680u3sXBeib/asghNTfE51+UrP6Y4orxMlWatNusuEFl2zbKTk/WuFbq+Z/Sb5y5IBjRr\nErcarzV1kKoGYFGWtzARpY4PUzzeIAbHyeJqLF5l0aSnWbOc+kqrTovXvIidHZO08lbKM1FhdY7r\n4jKf42e/QOveXJP9crJBi3FrUYyMpvz8COeJuvrfyBTHXyYr63eTbdyyeAZJpudz7IMdydhasvDL\nSphqSQJc8u3NNq+d1vNL13rz5y8qebD1IYtxCaVNNdmkY33amESzduclhzsxSSZnYZbj2GTBo6Sq\nLMukgUeUIHTvQYt5BO4RY7NXCaHruj/jWIzsOaA4gj06d0ZJLC25ZiomQ2trzZG7KPd9QDKsNjba\niQSkG4XFoxjL0DCJbUtiCUuiGz2bC5e4DhTLitEc5TwTqJ8Oy2q7sMD+2Kyx7xizaqNrVQkHd+2M\n4hBsPgzEvtfUJ9JibiwGalTJtVtKXnxplizFqBJX9xUiJrotGiivPl0wqfOgM5Z2sxgaEcOqdS6t\nOdTitTLq59lMxEq3jc60KVz3O6u1a1oxqEOSTK9pTqgo1ivVYpn1VY63S42ItbUnVJNpu2LeGYoB\nG9EYX9XzWyiz7ILFIimWI1WI4j+NqS2I7VlRzF5dcXSusaGXmjX4zBMvqM4839h2exT9KSWD1baZ\n4xw3MsQ2P1WMylpVXFBdtFi9Yaym1tI+ttUuxSquXuTEmRKbdrrB+z0DHtdKxEpbG1gS7AHFSdVi\nzNzCamdCz5ZRoCbFbcrcYrVd0Pt6cvb0KQDArGKAdkxyLV+QdLzFxywW+ayeBY/bXeV9FmvR872g\nxJuLc88BAM5f4phNK2G5eVbUFFs0oZiagwc5d1nMbZhMWb9XlGT21ZdfAQDceZix3+/51nerrtF7\nZ04Mm00Mj3/ucwCiOfaFl17mcZIqv/0Q40B36h2mF3gGx8PDw8PDw8PDw8Nj2+AmY3CuH9bExwTd\n/tYZGxQaLa/iq3yrsWfvfgDAE1+iitXJ0/S9f/FVWvnveh2tjG/7qq8Oz6nK3/b5F5mU8vnnuB0a\npJXy/geoZvHgw/QbPf4KfT1LRSUlq9Ji0Gd+urHGMwZpELTunb9Aa+UDD7Get99xOwCgvkK/dFNg\nGx5nfE2fGKmPfuLxsMyBYVoTZi2xqHxnjxygRbBcjNiA3sD6Z2TZGWvzOnsCWicGlyKLebvGfxtD\ntShL3Ix8xy9N8/fqcileVQSy7jUCtllNvsetWtR21QFl6JxU/1IsQ6kpy1XKkqYq4WmJw7dqMSb9\ntGzNucji0R/QqlcPpDDmlGgujEfpNfkd6z03b4ldWYepMV57ukrr0vCQWAf1mWEljzWLERD5GlcV\nUzU0REauIathSZY7S/hpiR2ziv2anKRluW+Afa4otb8Dh9nXsjlZVi9jhFyrkpYY++sc3wtGhpUA\nUY9gRkk6GzXzf+f9L82wTz39JBVrFi+yDXeMRFb8oMJzv/hFjqcXz5KxmTjCsbxY5NhuKX4iTPAI\nWkjLNVaipG1fjc8nHaoYsu1Gh61PmcUvJoWWUjJDU/XT2Ld4rHaWY6XR4LZS6a3t5mcYu2TMekoW\n7HTGEoeujYUMVTIVh5FVfMiklBhflMXcieF4/UNksQ8epvXQiaUeHrPYnVgWXVO6UqJFWGyDifVZ\nkkSNjYwsxWH9bNuMnufIOOv16GNk4I0lMAYnPm42g6os8TndvyVitthTU8hcXo2SyAZ1WoQbDc5l\nA5qfMmIMbB0YG+P+apllX7p4UcdzfA4qNm52NlJRG5CFfkCxUJawsy32emWZ/Xp+nnVYrYqlE5s9\nMi7mvxApRjbFvDcUmzGYYb3almi21Vu/M9XKi1LGtNjAqTEy5v1SrzSFN94r1728VMiaYqamW2zL\nZfWNtMbC0pLiE8Q49puil+53qRW9qjXVVjVnW97fgQNcY/NSv3tJMZpOsW8F9fGqBQ9lozIzSmrZ\nrvH5V4q8l3bbkl339qrYVAxV3ZJW2nhUnasaM1HoF/cvS0Hy7HLUZ0xN0+LEgpBN0ERa5/6z4ujT\ngZJZaw6LXuNMxtBi4Fodvy1Wa0GxjvFeExgnEMYBmndPJ1fgogynPePpp74EAHjmeTIbdxzhnDQh\npu51d98JAChq/ikWOb++VOJ4K8fimNtPkbkpg+8fL59kX04rTqlUJLNYkWeFeV685c1v43HqO/1S\nUcvLy+K1V7m+vFjitV9/P98dzyi+Jt52e0ZHOsqwNfR199zDsk6eAgB89km++5W17n/dV71lnRa6\nMjyD4+Hh4eHh4eHh4eGxbXBTMDgbtYZ2O27LfObj5YQSOtdeBS1Ej9ealp/t9DQtRnv3MMblk5+l\nitozz38QAPA1Xx9puU9NMk7izW96FADQElPwpafJ1Hz28b/i/jc8BAAY1Zf3q68cs8oCANKphAUE\nwCOPPAIAGJGl/jf+v98BAMwq3uepp2n1O3qQFtFdyuPjMrTEfeFJWgQ+98VnY2V+JQBgcpJMjlkb\nzpzhde8QK9QrzA91wNGaMZ6iNWKwSbamXrkQHrtSYnvPzLC9Z+fImM3OSx2nonxEapPMIK0t2RH6\npmZk7Zy/9HkWmI38tvc99M0AgHvuOQgAaMn6VVKZQcC2y2VkdbbcQjlaRApi4JZHdoZlPl+m5b4m\nhbZKoPgWxbWkgt58+o2xuXDhvPawL5TKtETu3r1b98DyzfLcJ9Uvi3EAgGqt2rEvjLlpWi6lzhwg\nl6bZ1iNDtGiNjln+G9bpgYfZX7KyFC3Kh7nd6jSndZtPrgeDY3l5Kg3et8UnpRUD1jfA36uahkor\nHDtPzrCt9+0eDcvatYfj7AX5YzcGxKbIQr60yj6cy7Fv12uyCCv/UlM2rkXl0LhwSapjDWOT2La7\np5jDYEBxCLVaxJr2iWEdKfCarSathHnFs2TTPLa5IjpzpTfGNRBzZ3OlxRNB+0P/99g59sQDxbm0\nFMeWVqxBTvlJbBhk5b9v7JqxhUtLZBRWYqpAubzuU9uMmKR2upOpyVseJ/XPrHJSpWUFRYxZMMbG\nlIMsp4f13XSPjGtDTLnlOTF2KVQmtONa2fCcusIkLUfO7AzjlbJZs+LasVJmEss0Osr+mRNzanPF\n+FjELJekprkopUMT6Tp+gpbfebH1uYJiMiYYJ2pxoDZmClJaAoCWLPmNRqdF26zPrschO634SmPB\nCoolaKgvlZrKHRKLXzKWIS+2qy7WpDbMeucrvK+9yrWyrBw1C1IxLPerb6sP1ZZiuZI0r+X6Wdao\nFNj6h1mvlqks6poFlbVLimTTyl3WysVihurqcE0em2lpflB8UbvHvF+rCZU+kywz5sNCykJFRHun\n0O/4NGvjKQjzbpkaHOseiRFaLE33OoWqtxpLlqPNYLnbovR4sYKCzrkmVEA0dtZYZPt7q3cK5967\n7gYAnDzFuN4VMXJ7FPP34MNkSywflcX9fv5zUh5sRmP5pDxpxpQHbIdiZVcW+D6TybLPpNWHV1bY\nR1559RWVwPv6yq/g2mpqvTNSBJ3W+rOwTK+DecUv3X77kbAOTnPbnLxe+rVWjUphdf7JpwAAL514\nDQCw97Z9l2mdjcEzOB4eHh4eHh4eHh4e2wY3BYMTIpQ4u47XNHfoYM2umCJGp+lnPfW0nnCVJJEp\ntzz4INmWUo1f7/c/yNib4bP8sj723HPhOXlZGo8cokJPoUBWYULMzt13vw4AkJEFyMlveESxESVl\nEDbVoMnJyDJXVg6CPiljjYqxuHRJmdUL+ipPs6zzF1nWsy89AQB4UjrzmWz07b20Qqvp299Gxsny\nHWRlXRoSW9QrTLGnoBicnJiclnx5lxYjq+38RVoYz0nJbG6Bv8uywhYztJAM3EH/2P1HWefR3fTt\nz9Vo8Xj2j2itSCGyog3tf5P+IauHjD+WCcAyxltuhah/clvSP0pxX/OWqYOZzr2sX5GW2Jr22AiM\nkTFfc8vT0Wp1Mjb9suqPjIx0nN+KqUE16rQA52WNtTqaZdxUbjLKRn/PPXfrHghT0RrqZz+4407+\n/fRFMj3JcdyNnUmqqG02JmczsNxV5ZZYrYz0/qXek82zbW4/wtiiwSExecrPMFeM2q40TUvbyG1k\nzF5/+xsAACfPkAGdkdXdyQqf0pip1xUL1ZZakuLy8ooVaMrKW1nl30+XaXUbkNU0G/PfL9SpuIZB\nlukqfF4ryo8yKCanWVFcQaW3OJJkDrNk8po1f0f0PG3shMprISuoexCbMqT4qJoUwRpiPFxYdnSN\nppiCho61a2XFUmZVplmEJ6cmOqrd1BjI56I4EssP88TnqTD0lrd/PYBIGS7ocbxmNefnCxaDw21J\nuSlMuTCXj+bSsvJpNLUOWM6L0VGuE5Yvrr+fz3Wg3/LEWF4YMTu6zxFliAeAvfsYLzIjlaXPf5G5\n2JZXlNtMzHdfP5/HuFja8YkxlamYoZVobs7m1TdDZkIWejFLzXpvOYSW58k2pbQmVWTxb+ft+bMN\nrS0BYHCIY9oyxs/MsY9M7WL75pUxvniBYyczyOcxfoBjvqzxNb+oa8fmy6Fxtv/YLm77h6W6qRig\nUtkUAflMq8pZMifrfH2Axw/1xRToxMINKkYTYqusj6Z7jDs2xjD8HVj8DH9bvIuVbqqNNud3LSvM\n5SQV1ISCWcjAmNRZGPNmP3V+ImbPGMi2xfgYUxybV4yhia6lc9vmVZGco3pfL97yZsbh5RVbuiA1\nwjHl2cpo3Shovrn3bq57r73CmJ1Cf8RuLi+xny2qjEcf5bvGipiWJTHTtm5fuCCPFKmk2Tpy/wN8\nr3zssccAAPNLXBdGJ/gOeNd99wEAcmIZl4uRDF52UAyjxu5OMb0jI4r7tBhGrTGlmHJgr/AMjoeH\nh4eHh4eHh4fHtsFNweDYR24v37rXNH9F0kQeXmPzNQ0S/3BbFN8zP88v873KZXNWMTlmLcz08ev/\n9LlL0TkzPGZIqlSvnmAcyQsvcbtP1rXbD3J75ACtaUPm36/P4pIs0bl8TMlGrM5qkdasQbPqymrS\nkC/8F59kvM+CLAfFKr/qx6V5PjISWZfe8DDZqb2yWA2KFYAUXnIxX+LNwFRYArPKhFnE5Z+uXACr\nyiECAPPT/He9SitYboSWkIFJ5q3Yv+teAEBhJxmc7Ajvp6lM8yjyvgoDbNvhXYejCg3w2KL8441Z\nCn2GjX0x0ZfwRoLO37FhHTiz/Cq/ginMWA6gHqeAUslU5Nj/8noGA8qNUZIPb01WRWNw7F6KMcuO\nWb1M4SunTNS5rGVEN4s/909OsB8UFANgdbj7frZl1pSVQl/qK7MxG425CWMW2r37Vs/8/+y9SZAl\n2XUldn348xjzlJEROVYOVVnziCoABEGAGJpsqrvZ7CaN7JY2MrG14UIbybSQmTYybWimTctaJjNR\nAzfNFkiAMIAAUShUoQpZ85jzGBnz+OfZXYtzrvv/PzMyM34miVTYO4v8GX9wf/78vefu59x7Lt3R\nmjyRGebe6JqQGUYfupxLzRoVAkpWhUpYoXqbfVa3qMJOgwG+eAPbqlbwWlOGjnkgiQK26VE1ytLN\nKkonvtIGzk+ddRGSQ3R+U6e6LoeedhHriTeBNcduMjfM0loJ3OYm816S4dx+ENzudqn1cezbvqNz\n3KLup4qG8DcJ5jMkEqoa4vuaVyO2OnGF+1dlop/ptZh30WaORpP7np3DGj01DZX31hJYUTsaSlEW\nFgAAIABJREFU1qvIsE7WVca++8yPfOY5KHORrtole4HmNrhkSZsdXQ/YV77uP6wc38qgnVtrUKmT\nkTZ/A9b36jXEyk9NYcxNc+yl4jh+zQ3Q3BXNzREJHdZSNVVV0M+pNOZ2grk3iRRVXVL+jhvjcahC\nEioE6s6kdWkC1zTeYMQig6117TrbSEJZcza8NMczz5/lhw50bdbkctnvWpNHu9tirZ4dKnbi4Lw3\nSrimFlhrp9liTR9XXQ1FbB//rzPBpcY6RUmqRqk8+m54CFES9Q2oZCVV11mjZ6RLVHeY+8OpK5EI\nc4Z40PagCk5QJ4bXqL5xqLWL/GA95fqqiqsT1rRSp7JQcel1Q+u/BwzUeG5bc3aCOofqPhq4qfU6\no6na211Xy+earPWoPK0Po9/xtW2dnn0NApv5uSdP4Z6iTAVyk/ku/+E//G8iIvIc14ZvfetbIiLy\n/LOIFpmcDutOae24VSoxL7+EyBKHURGa36PXtVusb3f5Itaht956S0S65hun1lNPPSUiIk8/jXs0\nzY379//rv0dbucaJiPzzf/F7IiLy7d/6Ko6Hjm23zsElVO8j5+l+arthDtGgMAqOgYGBgYGBgYGB\ngcG+wSOh4NzGmv5j5uD0Sytd/7uN1b1nLk7v7/4xDkQZOHWouUal5uixYyIiUqU3/MjETPCbzVW4\nwpw8Asa7pZWB23jd2QZD/PkXUFlSUbAR168h76TIGjDKio4yd0dEZJjxwRrLqUxGh2zaLeYEtVtg\nu9JZ0Ehx1jSZOYh2Pv/cmWCbT5ycF5GQVVKno6gLtlFjrPcOdWzBcWv8b5NsYl3AhNVzp4Jf2EcQ\n55qJ4LNsFq510Qza7dk4jratVdwZh95kP7D+SGoceU6Jg88F2245iK2N3KNauWXtRguReeqimTuk\nkJRp8rSS9AMqiFryoVyhkxBzNmyqKg4Z1jhZ02qVseQBG9ZVg4HMd4t9FaUC02L9H5fb1PpNysvE\nWMVcHb8yHEtatV3ZtsBeR1nEO8xnq2+u9+fiPEyFWB2L4nQ6s1iRu878tcsXMD+tIlWWY/h8aALj\no1gN1VhxsS1Vdeo1vGbS6MPFZbLPrKSeZI5NldWvlWjcXGHdDqoPXpvOdiSej8yMcTNoy85OqGo2\nyOotb0DJaVIdmhmB8uu2cP7On6OjW18+1v1C2cV+xUTVCUXnTvPH1noy/NPuVTZTjA+PM++rpWqu\nVolXBSckcwOHJF1/dDhp7ok6aWk7tS7Q4aNw/9vaZJXvrjyFuVnkKDaZ13HlPFwlD8wgx2p8Zvr2\nY7sP1Gq9uZHSVwdLq7h358pFyCBr/1otqu1lvMbTGI8bzBPxLZz/lLp88bqxyVpZ7a58wxk6P05O\n43i/9BrG62fnEEXQbqBPRqnoK5ut60oigfVXlSCR0IVRx4dee9R1S9WgvSLLWjbNBp3oeH1wOswN\n5KCYGB4PflMsgDHPZ/DdoVEcX6EBprzCOlKxOI7LpZtfjddize1Ip7hedy35bc5NqdGljy5pmgdp\nscZRJsMaNlk6V1IsanHMR5xwowmOTYsuibN6bXW1Ztdg61+ECoHmu6jyEZSi4Vqu50rzMFvMXWp3\n5WG4VAS1Bo0uyaE6yW1xXgb5dx11CuxdP3TCBi570qu+aL2nbgc57QWH86dJhduyMF41j8TThXXA\n2ksiIjcXka9b5biLcO7evIH7sF+88bqIiNToXPr883A2O3wI60suH87lyXGoscePQh3JBnnLXJtU\n2eW4TPJ7aZ6Pd38F19diAXP/e9/7T2gb3RB/m+rRj/72hyIi8jff+2sREfHq4dq2tQ41Z4QRGufe\nhCrUZETOmd+GwvPSi1CXKl35dYPCKDgGBgYGBgYGBgYGBvsGj4SCo/h1mKgF8dtd71h3+B++o7kO\n99vCO2/1YSI/Ama1xpjfEycQr+neRAzlT3/+poiITLHejIjIFOvJPEnXjW0yxaNjUCGa3FatApY2\najOWnKTE6ccRd/nCi8+LiMiVy1eCbffnwyibskbVKEulZoTe58IY2zxzhr7zrW+KiMhQNow5Hs4h\nlnh6DKzDZ5/AEW5sLMp9DhaX3s+t1Oggs+SDLW3bYD3a4+Ex+fyOb9MRivHMHY1R1rBvOrKpW5mS\nZVYUxzLy+Hfxu1RYs0ZDiu1dag6o33+YN3Nnv//QIa2rQVrN21fVavB8MgDHH9PaJ6xN1GA18yjV\nKKZJiev25sOom5eISIdMqMd2Vxmba7Nid6EM1rNJ95Xz5+G09+ILr7AN2GcyhfHh8pAi6nTTm6oh\nAWt9B+dExW7OiQ9DyWmVyMh5YMc8NqxWxrxrsWE15rnsME9hiLlZYU6SiE0HLocuSKu3MBdtDiZ1\nQaqqG1idTnvrrE3T1PpFZEz1/DDf4sAh5E00yFQ2qCyUal21bMj+RVljKUFHqDaZ1naN6wnZvtVy\n6Da1F/QrM3ouVEEJ3JHukIMjmoOm+Rmak8PvZpiD1GJ+RVvzebhLl4ps9/m3yBi7lLl0rbODpYDM\nMbeldVKmqdIcpwp26cKlYJtrq3QrehrreKmEvioWofYk8+G6uBdofpv2kaN1sHjuNK/SdkOJSl2Y\nJmeQL1guYN/VFg5wgvW2Gg2c1yIdlTYKXAsaUAWLJTCx2115W6OTuNbU6UA3PoZx9mIWyv32JpRI\nj+tVi9EFkSgUBVWXuutp6bl2HM2NYT4Vj63RHKz+0ugI1ZcCc5A4hnSs2FaV+w3bkk6j3cMjVJyS\nvfkv1giuA24Z88plPt4Q61p5XC9tKiqtLi5aK9T7Po4nQxeqtoW+tDloxyfpZFUCk19dw/ezefRP\nbiS8bsY5HsYmWJ8uCTVKc4W0HXtFh0pcp692jdZwizg6HlW54nGq+6cXrsPtYM3BWHaZ19Sqcj3k\nfYCvuVZ9eZI6D7U2m25ZVaWghg3b4HG+el11cgLlty+3SHel6o8VKKNdku+eofeb2HiDURA/++lP\nRERkjM5lly8ih+V/+fM/FxGRP/rjPxYRkfFGeG+RTmPe6BqqObA6lnXNrPPaWyrhmtuoY0xtreP+\nrcbc2/Pnsc8Vvv/YY4+JiMgH778vImEOWjIZ5mdfXkAu309/8bqIiDzOWnleCnNhh6rnMutO3byO\na9kf/PZv7dpD94JRcAwMDAwMDAwMDAwM9g0eCQUnJEt72eYA90EeDB4rfzuTHfyv12Cmy+3tzuzu\nbWkNeyDHB62vUWP8743LiMvc3sIT9nsfoM7Khx/jNRJ7N/jN13/zN7FPxtXOzCKuO5MeYWN68yaK\nBbCHR47DKezll+CY0WKp67W1zWDbSSo0tXX8ts1q7erokiNTms2DbUmnwTI99xxUoSG6ODVLXfGX\nefzm7K9QK0EraOdYmVlZh72DLAv/qgnYhqqHV8u+01jieVK1pW9whmOB8cCBrz+ZOP7tj7LWUNc+\nfDJF/q4DXhmdPiZ7lyZ2f+oEblK948wf0B0nworOHebeJBlr7ZLK8nw60JXBrlk2vp/QyuNdu3U0\n1t/Bq6oFysTq3Dh4ECrkiaMYhyPDGK/q1jQ5CcZK6x+EjNydz1EPwsQ7/VLPvh9mPZzSNh3mKnoe\nWcfCw3FHWKfCYl2PtQrmwrjHuHgvZAU7VF4iVLHW1pCfk4iBta2VcRyZHJTelRtgx5YXtvl7Hk9b\nq4H35mQsFPE9m3PDp8NgrR3m4KRzzF9JMhcvgfOxxrVo+TJyM9Y2wApa1mDuOP3nLTwXep573+/5\nDtWvYL5SDUwzB2J0mIqjzjGnt15OcGm6g7oauKcFtTt6mWBlTTWHyCaLfeI0cvsazL0SEbl4Bc5k\ns6xRduQoXjfpgtSqj9y2//tBjA5FWqdM3Y601pTnM7+kOy9N640xJ244BuVJc2+0L5oNKgPDU9wH\nznuRMfSJnNZyCY9zgzWqnDFsK8faHllV9tlXa2sYMw5dxlJ0eVPVXnM9RcIcJz0fwfoRqAeDuW0m\nkuibVB7XsBhzjFQdTWgeTVeeSjxKFSmmYwLtHHcwL2Me5wjnb4tr3tHH4XxlRbXtzI2wQhVBx7tP\n5TtQCTQXhepPnMe9moAqs3AR6uD0Cagzk+kuFZ39mD/M/dMhTnhM7QdwjRQJx77mOlrMU9P0M5fX\nAJ0rbpTKYlfSW5u5KHoeNa/X5Vj2df71ObIFqovOQ1VZ1L2TCaX6qyidFLWekuZciYTXFp95rpYq\nvbyuN6gyWc6D31rPMx9ZFftyBfOnsIX19Pf+6e+KiMi77+Le7rNPcX/UpCqa7nKr7FCN0rmh9xgV\nKjnZDFRAzcXRv4Xr5sQErh9qI6mqkss5trVB9XZtnduhQhcL51yZ9zc/fuPnIiJycwr3ndtU1BbW\n/x8RESmxzmKMERx//j/+D7t10T1hFBwDAwMDAwMDAwMDg32DR0LBuU3qCFhU/bu3Eu1dt3SfTme3\no+t7/Q5KfbUU+tsbkr76+e37vFeM/6C4RkeN11+HI8W5LxDPXSWToNV5i6WwdsZf/dV/FBGRq9fg\nWDMyDNZmcqLJVzB1Y2NgZDN0e/LI2t+kR/q5z8EY1Oqh/7/GbCrxmaIDTSLOWE+ySidOHBERkeee\ng/OHMqutOhiFSFdsdYX5HTd4rBmqRMPDYKaUuRscvdlf/a5MvSfvtjPZ+9d9n1dlgu7z6w+KB025\n6YNDlUtaYGj8Bs5JkxXSExmti0OmtYVcgoDktrvimjlvoszn0dojAZtHNkhr7WQyYFKjVPLyQyP8\nG/tSFloZ6PuqXROw//ra67TzMBUczQ0QuvcVdtA3NDiTaJw5DtM4rgzVzh06C8WTmWBbbfbjyiaY\nM52Kxw7jtzn2VVzrvLDqvM+kMJLA4sZYr8PC523N/1mlEvfedRERGZlgjZ4wtFpaZPC9DtaYSpks\nZgPnZ+UW5nSTpY8SDxKWLrefgzAu/g7nOXBSQj9tLmHtapSgiEwNYdzmuMY12ceq4Ph2rwLbnfOh\n0HGq39H1SIdIf+6Q5gypiqLx6yIiN28tiIhIYRvqh9YF88niDloYXZlbzRNSJUcdKVUJ6V5Ltd36\nXoLzUxUoVc6jdHdKelAn0nRiyg1P9Hxva+1WsO0r16DglFhJfXaGOV5LYKc3ith3MgXmeGwM6pAy\n/brN7nOt7dRz1KQTXpU5Qq492MB7/Ml5ERGxE9i+CqhR7sfl2uG64bUhFtXcBn6ZQ8Cnm2GEE2/z\nI+QlxPM4zwdPQKW2uS0riCYIoxSadBZTtTUSwXriaN2voNYZPp8bRa7ts88wz8JFREanEtYo8Zgz\nERsh4x7nuCcH3mrd3dlzN3itJo/H6flbVRQn0qtedzhPXa71fjvcr9bEcbXuEFUJy1WVlYoix7Y6\negZzWeewus1prg23rwJcoDLp/VzX/G1x3AW5RMwh8jmnI7zmqArU1BpKA2B6HGu45kRr3Z8s81rU\nLW3hJu6LPvkY92NvvA6FZHV5LdjW9g7Wuwm6qeVYk2pmBvd65b46ODqXtEbQ1OQk28AoE1WjAyUI\n17AqX08xv/tb3/5W0IYf/ORvRUTk/KeIKiosYq5XOEcszQfivJ2YCnOIBoVRcAwMDAwMDAwMDAwM\n9g3MA46BgYGBgYGBgYGBwb7BIxGitluhTysITRvcQHq3wn33+BVfWBhKk0b17yASTdt35+dE6y5/\nPSx8/29QUGlzk0m/7KuIFlhkEnirKxmzysJQv/zl2yIi4ntqdwrpc2IMyV+TU5AlpygVxpnI3Gog\nFOXmdSTEjnUV+lSZXt1GNeFxchrbeOXll0RE5PEzKESq4WdLSwhZGKb1YasRtrdEw4G5ediVauxH\nf2jInhGEIfHvviTl+9luX076AE3oSup9SMUk72RO/rBCIhV2BiEF2QmEEpSXWUyPBes05CUTgcyu\nBRbbfN+1w1CY0Oa7N8RneAiJxxWaXdQYeqDF1Vq0SJ6bQyJ2UPhNQzV4zBoSpOOl20Y4QOBv0jsm\ndgtJe5D+bNSxjkSZSJxI4DjUmtPV99kvOwxhKxfweuTgfLCtna1VtptzOMmCgU18t9XEXG0U0QeZ\nIXzv2GnMxxbDXFJZhJ4xF1rWbtEmlKGuqSHauTO0YWW9GLRhdRHfqW5jn34TfZONIzwu4yCpeaeD\neVxvDBbu0o/w/KptLt7vDjHVOdVkiE2BoRiFRYR1jAVGFehrTRzXTQSF/Rjm0h1uptsOTAa0IKaG\nxfUVJFU4amTAjec5zkVExsbRV5Ua+vKTL5iMr2E5dxq794H+0Dot/Gk7Gk7XO1dEwmPWsJUmDWN0\nTW+rcYOv1w/sI8JYS5tmEikmuTeaYThZtaGJxQiXurGCgqYJhl/OzB4XEZExXoss6e3//lCa7s+C\n77D9rbZafw827k4+gbCxoFCk9CaW6/jTxHgRkSaT6F1yyNkYDUJoFmDTP398GtfY0XGE4o3QjEez\n750ODVj88Ly0aT7CZUS0W7VgMi/nEuHt3UgScz2bwrV1rQqL30IpLKLZrvMY4r1heI4W03UHuzaF\ndsk0K2AIqBbJ1VCvMPSpw/YwBLEdjhkNjfS0CC/DFb1Wr1GD12RYGEPYHN5LqI23FfQTjQ/UI13X\neh3vtBXvNhvSUFf9jsNwag2L84Kxx30NaOIjogHMYfFln+P5eYb1f/E5ymVcvHBBRETaDP/70Q9R\nbPPHP/pxsK1qBeuJhndriNqpk6d7jjHJcNMcrcc3NhDm9u5ZFPr88le+IiKhWVDErfZsX9feF154\nUUREvvH1rwdt8FjK4PKnnwq/LCJhqKdNC3WPZhLf/K3f3L1z7hNGwTEwMDAwMDAwMDAw2Dd4JBSc\n27CLYHMn1vR+We89Ma63WcbqG/qkf+dE86DZdzEb2L1999+8nt91eu36XDIHRRZbU7bDdsJn2TiZ\nD7X5VGakTAb5IhM/z134XEREHCZGZrNIyJ0YRTJpkomIZ06fCLZ96hQSZn/4w++LiMjBWSSHfvm1\n10RE5LlnYTHtW2AbblAF0mJxRw4/IyIiGxsbwTaVAd3ZAQOsDH0qA1Zsa2tr1/65G/y+1/sxgtht\nvN1L9XmYCsq9tmV1ff4P5WHgZHH+xg6BETpPxr/DPSaTGCPxOM6RbbHgXULVmrBlHpnVGseARfvP\nBJPxVUVQRlmZ4ikWCsvlc9yO3/OqLFs/6xsw7F0Jyjo/+kU9fxdjggc5n1o3rtom40hi2aIdaakA\nNnDhOth7LXwao412LhIy/qx/KGMTVGR4rE2y68O0392qYj4p+z46SYMOJk67nMuNOtqUGIGysUNl\nOB0nG65tjYbJs+khnFOHVtNNsq7lMo4jlWYSdIXnpx6y0XuBrle3GUHc9r3w/4HKQqZ1ZnYebfJp\nyc0E7Y6tdqZUYaRX8W8HNqvh/NZxGOyjzxZaE/rbfYm5OqI8nqNIV3vzOYzlFudEeh5/R9Ti2BmM\nk+yQ3fX7jBA0cTnqoh9a7VA5r7MMgBZhjKgdcVC8lwqP36t6aQspcARNTqdCcwxneh6/bcMKd3Md\n4zM/BJUhlYGioWPfjajhQW+RYzUk6YaWN4imEtwv7XIHFA5TgXrR2/c++6OjlsZdKlmKttYRTu64\nFvNVX2T+PTKMPhke4Rrmof87barVTL73m+F867Cjt2v47g6v2zEqvxaNI3IpzP3DBzGXXRZnrhSo\niHdVOq5ZVMSogsRVGeOhe4Mud44W33X4pxqCcLucK36fHbtaPVtd411vw1Sx6S/sGxRadXojOwJD\nA1X2tWizFt8OrgfaBKozvN50FxvVQuZ6PB4/c2loIH6Ubd3FsGhPUIOT3juVP/kTFPL8wQ9+ICIi\nW+swmHn5BRReb3KsXLt+PdhSg/OoWMJ6vrqCa8vPaLqiylpQVsJVxbTd9a6IR2VydhrK6ugoFGdV\n6LSlI+OI6inXQgOqyTF8V012NErHZn9rkdQIzVde/cpX79Ane4NRcAwMDAwMDAwMDAwM9g0eCQWn\n3741KEbUb/f6j9Se2+LuA4pf22n3/4CfW72vPdbTd/5JaBc82NHNkMWOuFA3qlXE5OeHwNCWWOgv\n4nXFB5OZC2KTydrFWbDMsnqL3CmrVKsjznJ1FWzA3AyYofMXPgu2XauzMBu76IknHkc7Z8AwX72G\neNGxcbBLQ8OI9UynWUhQaTYrHBM7LBiXZFHQwjb2sbKCooaLi4u79M4/BvrP2+D5Yv9/gsPCj1EH\nCo3fwGutQ5Y3xryRGJjZofwEX8HM1uth0T+XjGO8hvGn8bwaUz5LK0sdj8oW5ch2K8J5Kz2v/bhT\nXk041e9uC/0wlDjN89BtqaLTaVPh4PdqRbWDxftNfvHG1YVgW26efTesBRvx3fVV9jvzYCIW+jtK\nJaCyXeMr7EOdOPaaGaHiRhZ0iMzy9ATy376gqjs+mw3akB/JsL3YxtINzE9VHbJ5vMapGnmVwah0\njdtXKPMaxNR7t5+joLgmGdViAWtJk1bGPnPBgpKrmst0GzusVqZd8fjcth+cz972qpKqOTdaRLTV\n8Xr+drvWkITuj0kQoyyeGRQg9QbjJHXOdIJrqqpNqnrqsXT1sbafbLWqPS3NL6Fi0W4HCWzYNq+P\nScbp65yKdBXCbHH/ozMYV5OTeI0wuqBFRtnhhcRxA12I7WauRjtcRzQ/TKHqTzyhOUKDlROoNbAe\ndXjcEWW32VXtzu0qrxY47PA4q020t8T2Wj7aMncMuUYZFlZc3LoqIiLNNnJn256ueeG2K8yfKtM6\nvMnreEsVCv4mkqeX+zTHLhPsdtaRV7FWCiMfmjyHeV5j21RD2lQDBrXYjlIJCuahFoRWxl+LMnPs\neKog8FiarS6bZb2p0AKdqu5F9b6FFs2x3rXQ5zbUqjqwjW5r8dFAuun5fkd6lSIRkY7fq+705wGr\nlbUqHZ2HeNOq+1DL5v/s935PRES+yrwYza9RxVjvj0TC4tka7XKNJUJu0mJaI2bWqQYVmat44ACu\nvWpp/+knn4hIqADHUxi3TSrcVSo2K6sr3O560IZLFy/2HhAHtapE2u45FvQ+dPjIXfvjfmAUHAMD\nAwMDAwMDAwODfYNHQsHZLW8hYOj6Xh/y3vkaPmprLLVn97JGGpdt7eKa1r/FOzU3PIaHw/QfoIJT\nYlzt1CSYcmWvhE4hOyxsJyISJbvk8inc4jDwOnQcItsUo1uLFldLtMgM2WSj6G4mErIsJ04cFRGR\n3/jyt0VEpE7HtrFRsGtFNV9i/PnOFpgDZeOX6G50/eaNYJvVWsjSiYhEHLAJUb4OXujzYdArvefT\nVxZzgNO6F/e2u27njmPKv+ufe4XbgRJ3iiTLxXHG09osGJgEi1YoQ1FMtfH3+iYLvXWxnjMzGMOJ\nGMaIFhfTvLImx3IyCXZRY+yDQ1EmXfrzaO5+kL0KjubR9ebT/UMoOTaTLlyO33IJc6HBOSFUUD0q\nOEnmsPgslrvVpX6lqxj7N79ALHWGDGyaMeGlCN19qNKWt+h4toHXdgufD82BifMYp9+kWjuWRU5E\nkvseZY6EHQnXwAYZbsfFcc2fxBqkY0CdFVs1HG+jNpiCowxff9HNTp+C0u1aplOpTve+lU2sNx06\n9YyR5W5p3L2v2+rNp+nP3+r+f+CU1K/g9Dl3BmOGeRjtBvr+1lrItG6sQY3Oskimxvorgz/ouPP6\nHEF1zlh9n3cvHZpvELylLnG38aLsK1Ugvd7X4Dz15LxxTFBJSybTPd9VqIKjeQjKRNv27Wu+9o1+\np0h1sq2/iURv+839oMq50+C6k+Dc0iKHOi51vyKh+hxhvoHv4zxuVOBqmElDyX7ucUQ4rJFtL61X\nuU3MzwbHn+OEfdfSYpnqVEnnq7TgtUVbtekk5mqOx339Mth3i0W/o7Uw3yodQ55Sykb/V6iiF5n3\nulsu4r2gfeRp8p5G5/BPzbsQqzdPRnNaWl0KjhfkaPAznpcW1YMIFUNxtKi4qrEc63SM1Hy0jubV\n8TqjqpuqSG1V2LvmnKqZgbtbn6NrnYXKdY64sa6KyAOi/75A1yK9Z+pXLhWao9oNbae6nJaYk1Op\nYNwVqHDr+R8bG+v53V/+5V+KiMjHLCq6xfV0fRNzrc57tXfPnhWRUL0WEXnv7DsiEjo4ar74EF0k\nz5w5IyIi3/427h1nZ2fveFx7gVFwDAwMDAwMDAwMDAz2DR4JBUdj8JQrsgOmSGmr/tyWEP8Qqk7g\n1hMww/0KTrD3O/7+Tp/3v/ew6mp85bVXRUSkydoTF69c69mhHSFT5oXsUoxe96pEtVr4bb1KRoSM\nlCojEW6jTYUnQ0elQ7NwwPmtLr/yJ594QkRENhnnO3IYT+Eaj17YwbZjrJWQSoB1SSXBdGxsbYqI\nyGoXq6lxneoWE7HAtIzk4coxMT6xW/fcFfdyY7rT2Or/7m6OebfF41v3f34fNM+jr4V92+59d9DZ\nMz0NX/x//YeI+33iFNiXBMdWrQ1G9r33wAh98RlcW3Z2MC7KXXkYVTL7cRfbSnJMaGPVwUrzJorL\nYLnf/uVbIiLynX/yuyIiEokn+bO7qyx3/Dz4fy9bFr7dm9jzIOdImcIGGdRGs9dJKHQOwnF75KEc\nujVFXXWiE4lzHpV3MDf8OtqVGgd7W6YzXZ3suuMxBt7XuY1t+h3dJubhyDDYwcI62N5aDQpRLIrz\nemt5OWiDZ1ENGYMKZLnKgJLZruPzNl1zCuX6rn1zN/SfN2V3lVy2+nI3e35DN6tRrhWdFljDaFyP\nWxWN/vmy23y/vb7NnVSe7r/1NWCByYour4ZrXYvrxNDkGPfRe+3rz1e9X+gcErLVtuZYkFmPuL21\nbPB/RjKoO6HmDDGPInDE0hpX6qZGFUDV7DA3Kmx7MJeLhZ7vqNNaPJ7o+U2Z9dL0d2NjGJ/d0RTK\nDGs+QaWMOVHn9SOdvTPTfS/E6bAXj3Ee8v0WnfhSSYyhWFeOkboRxkTd9/B+mt2b5OvKMnJuNneg\ndNuCY4hR0Ygn6HjaCa/fFtvjc+7GmR+hCoXWYKlVsM3lVeTNtdrIv4hH0ddTydCNMZuir1D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7mMeVtgJEi9hvWpVoJaW2UY/fBYqHgfPIZzPjqBkOaoRqKomM6giLaoWv3g9/RGwTEwMDAwMDAw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\nHM/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osx+4qITP8VTIxkRrlf8c9s09prfZe+Th/ZybWGa8fkHr4yxZBsdPafyuLmuvfnj1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\nII+3+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v0PD/5s8Yb1OvbDfA5jpp1jskcu/gUyyoFn58TAxzFRR2XxGafGxNBDLsBhOJqI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\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CrKxUSOUfO6O22Y2YH0N/GHFteQ76VSBi3OmQxQ34yj2pPoa+FXrpeHSVtSPDVuP45+kn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48tAJ1I0082Q7T90034qwe2yn1qsk6VvL1Hos8wCRfnm62JykYSfobvO0NlO5HkaHYwMvMVTtXr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\n3p9QuRlxXGopALXED0RzM8eVmjhvmKuAlSoQG9tEU62L83cmC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T1tI48gfpTU+aTziE8N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Uww620eE11Cni/1EZ69Bown34aJG5ZNxXxKLknkDVP/aTOZ+rYhusXSuLb8IZsBExGmQWH9g8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\nPgvPgnmkLe1gks1lMn4FiuNxXee4IS1nh67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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualize some examples from the dataset.\n", "# We show a few examples of training images from each class.\n", "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n", "num_classes = len(classes)\n", "samples_per_class = 7\n", "for y, cls in enumerate(classes):\n", " idxs = np.flatnonzero(y_train == y)\n", " idxs = np.random.choice(idxs, samples_per_class, replace=False)\n", " for i, idx in enumerate(idxs):\n", " plt_idx = i * num_classes + y + 1\n", " plt.subplot(samples_per_class, num_classes, plt_idx)\n", " plt.imshow(X_train[idx].astype('uint8'))\n", " plt.axis('off')\n", " if i == 0:\n", " plt.title(cls)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Train data shape: (49000, 32, 32, 3)\n", "Train labels shape: (49000,)\n", "Validation data shape: (1000, 32, 32, 3)\n", "Validation labels shape: (1000,)\n", "Test data shape: (1000, 32, 32, 3)\n", "Test labels shape: (1000,)\n" ] } ], "source": [ "# Split the data into train, val, and test sets. In addition we will\n", "# create a small development set as a subset of the training data;\n", "# we can use this for development so our code runs faster.\n", "num_training = 49000\n", "num_validation = 1000\n", "num_test = 1000\n", "num_dev = 500\n", "\n", "# Our validation set will be num_validation points from the original\n", "# training set.\n", "mask = range(num_training, num_training + num_validation)\n", "X_val = X_train[mask]\n", "y_val = y_train[mask]\n", "\n", "# Our training set will be the first num_train points from the original\n", "# training set.\n", "mask = range(num_training)\n", "X_train = X_train[mask]\n", "y_train = y_train[mask]\n", "\n", "# We will also make a development set, which is a small subset of\n", "# the training set.\n", "mask = np.random.choice(num_training, num_dev, replace=False)\n", "X_dev = X_train[mask]\n", "y_dev = y_train[mask]\n", "\n", "# We use the first num_test points of the original test set as our\n", "# test set.\n", "mask = range(num_test)\n", "X_test = X_test[mask]\n", "y_test = y_test[mask]\n", "\n", "print 'Train data shape: ', X_train.shape\n", "print 'Train labels shape: ', y_train.shape\n", "print 'Validation data shape: ', X_val.shape\n", "print 'Validation labels shape: ', y_val.shape\n", "print 'Test data shape: ', X_test.shape\n", "print 'Test labels shape: ', y_test.shape" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Training data shape: (49000, 3072)\n", "Validation data shape: (1000, 3072)\n", "Test data shape: (1000, 3072)\n", "dev data shape: (500, 3072)\n" ] } ], "source": [ "# Preprocessing: reshape the image data into rows\n", "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n", "X_val = np.reshape(X_val, (X_val.shape[0], -1))\n", "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n", "X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n", "\n", "# As a sanity check, print out the shapes of the data\n", "print 'Training data shape: ', X_train.shape\n", "print 'Validation data shape: ', X_val.shape\n", "print 'Test data shape: ', X_test.shape\n", "print 'dev data shape: ', X_dev.shape" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 130.64189796 135.98173469 132.47391837 130.05569388 135.34804082\n", " 131.75402041 130.96055102 136.14328571 132.47636735 131.48467347]\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Preprocessing: subtract the mean image\n", "# first: compute the image mean based on the training data\n", "mean_image = np.mean(X_train, axis=0)\n", "print mean_image[:10] # print a few of the elements\n", "plt.figure(figsize=(4,4))\n", "plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# second: subtract the mean image from train and test data\n", "X_train -= mean_image\n", "X_val -= mean_image\n", "X_test -= mean_image\n", "X_dev -= mean_image" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n" ] } ], "source": [ "# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n", "# only has to worry about optimizing a single weight matrix W.\n", "X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n", "X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n", "X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n", "X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n", "\n", "print X_train.shape, X_val.shape, X_test.shape, X_dev.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## SVM Classifier\n", "\n", "Your code for this section will all be written inside **cs231n/classifiers/linear_svm.py**. \n", "\n", "As you can see, we have prefilled the function `compute_loss_naive` which uses for loops to evaluate the multiclass SVM loss function. " ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "loss: 9.091887\n" ] } ], "source": [ "# Evaluate the naive implementation of the loss we provided for you:\n", "from cs231n.classifiers.linear_svm import svm_loss_naive\n", "import time\n", "\n", "# generate a random SVM weight matrix of small numbers\n", "W = np.random.randn(3073, 10) * 0.0001 \n", "\n", "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.00001)\n", "print 'loss: %f' % (loss, )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `grad` returned from the function above is right now all zero. Derive and implement the gradient for the SVM cost function and implement it inline inside the function `svm_loss_naive`. You will find it helpful to interleave your new code inside the existing function.\n", "\n", "To check that you have correctly implemented the gradient correctly, you can numerically estimate the gradient of the loss function and compare the numeric estimate to the gradient that you computed. We have provided code that does this for you:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "numerical: -12.507484 analytic: -12.552117, relative error: 1.781078e-03\n", "numerical: 15.528538 analytic: 15.517544, relative error: 3.541001e-04\n", "numerical: 1.229498 analytic: 1.151596, relative error: 3.271679e-02\n", "numerical: -11.124613 analytic: -10.993818, relative error: 5.913415e-03\n", "numerical: -2.115227 analytic: -2.115227, relative error: 3.942145e-11\n", "numerical: -2.843209 analytic: -2.843209, relative error: 7.242355e-12\n", "numerical: -10.525466 analytic: -10.525466, relative error: 4.763067e-11\n", "numerical: 16.099935 analytic: 16.099935, relative error: 1.005312e-11\n", "numerical: 4.847796 analytic: 4.847796, relative error: 5.423503e-11\n", "numerical: -20.459558 analytic: -20.540553, relative error: 1.975482e-03\n", "numerical: -2.737533 analytic: -2.737533, relative error: 1.368054e-11\n", "numerical: -3.517704 analytic: -3.578824, relative error: 8.612594e-03\n", "numerical: 11.933287 analytic: 11.933287, relative error: 3.901512e-11\n", "numerical: -25.301047 analytic: -25.301047, relative error: 6.251885e-12\n", "numerical: 11.532505 analytic: 11.532505, relative error: 3.159781e-12\n", "numerical: -6.066317 analytic: -6.066317, relative error: 1.438522e-11\n", "numerical: 23.579876 analytic: 23.579876, relative error: 8.338224e-12\n", "numerical: 0.293745 analytic: 0.293745, relative error: 1.520530e-09\n", "numerical: 29.850090 analytic: 29.850090, relative error: 3.450347e-13\n", "numerical: 4.410050 analytic: 4.324150, relative error: 9.834895e-03\n" ] } ], "source": [ "# Once you've implemented the gradient, recompute it with the code below\n", "# and gradient check it with the function we provided for you\n", "\n", "# Compute the loss and its gradient at W.\n", "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.0)\n", "\n", "# Numerically compute the gradient along several randomly chosen dimensions, and\n", "# compare them with your analytically computed gradient. The numbers should match\n", "# almost exactly along all dimensions.\n", "from cs231n.gradient_check import grad_check_sparse\n", "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 0.0)[0]\n", "grad_numerical = grad_check_sparse(f, W, grad)\n", "\n", "# do the gradient check once again with regularization turned on\n", "# you didn't forget the regularization gradient did you?\n", "loss, grad = svm_loss_naive(W, X_dev, y_dev, 1e2)\n", "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 1e2)[0]\n", "grad_numerical = grad_check_sparse(f, W, grad)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Inline Question 1:\n", "It is possible that once in a while a dimension in the gradcheck will not match exactly. What could such a discrepancy be caused by? Is it a reason for concern? What is a simple example in one dimension where a gradient check could fail? *Hint: the SVM loss function is not strictly speaking differentiable*\n", "\n", "**Your Answer:** *fill this in.*" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Naive loss: 9.091887e+00 computed in 0.119111s\n", "Vectorized loss: 9.091887e+00 computed in 0.003597s\n", "difference: -0.000000\n" ] } ], "source": [ "# Next implement the function svm_loss_vectorized; for now only compute the loss;\n", "# we will implement the gradient in a moment.\n", "tic = time.time()\n", "loss_naive, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.00001)\n", "toc = time.time()\n", "print 'Naive loss: %e computed in %fs' % (loss_naive, toc - tic)\n", "\n", "from cs231n.classifiers.linear_svm import svm_loss_vectorized\n", "tic = time.time()\n", "loss_vectorized, _ = svm_loss_vectorized(W, X_dev, y_dev, 0.00001)\n", "toc = time.time()\n", "print 'Vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic)\n", "\n", "# The losses should match but your vectorized implementation should be much faster.\n", "print 'difference: %f' % (loss_naive - loss_vectorized)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Naive loss and gradient: computed in 0.125091s\n", "Vectorized loss and gradient: computed in 0.004289s\n", "difference: 0.000000\n" ] } ], "source": [ "# Complete the implementation of svm_loss_vectorized, and compute the gradient\n", "# of the loss function in a vectorized way.\n", "\n", "# The naive implementation and the vectorized implementation should match, but\n", "# the vectorized version should still be much faster.\n", "tic = time.time()\n", "_, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.00001)\n", "toc = time.time()\n", "print 'Naive loss and gradient: computed in %fs' % (toc - tic)\n", "\n", "tic = time.time()\n", "_, grad_vectorized = svm_loss_vectorized(W, X_dev, y_dev, 0.00001)\n", "toc = time.time()\n", "print 'Vectorized loss and gradient: computed in %fs' % (toc - tic)\n", "\n", "# The loss is a single number, so it is easy to compare the values computed\n", "# by the two implementations. The gradient on the other hand is a matrix, so\n", "# we use the Frobenius norm to compare them.\n", "difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\n", "print 'difference: %f' % difference" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Stochastic Gradient Descent\n", "\n", "We now have vectorized and efficient expressions for the loss, the gradient and our gradient matches the numerical gradient. We are therefore ready to do SGD to minimize the loss." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "iteration 0 / 1500: loss 791.117973\n", "iteration 100 / 1500: loss 287.402696\n", "iteration 200 / 1500: loss 108.607363\n", "iteration 300 / 1500: loss 42.511326\n", "iteration 400 / 1500: loss 19.098572\n", "iteration 500 / 1500: loss 10.066096\n", "iteration 600 / 1500: loss 7.267049\n", "iteration 700 / 1500: loss 6.057420\n", "iteration 800 / 1500: loss 5.770418\n", "iteration 900 / 1500: loss 5.312655\n", "iteration 1000 / 1500: loss 5.188154\n", "iteration 1100 / 1500: loss 5.635616\n", "iteration 1200 / 1500: loss 5.315875\n", "iteration 1300 / 1500: loss 5.108222\n", "iteration 1400 / 1500: loss 6.043795\n", "That took 4.874408s\n" ] } ], "source": [ "# In the file linear_classifier.py, implement SGD in the function\n", "# LinearClassifier.train() and then run it with the code below.\n", "from cs231n.classifiers import LinearSVM\n", "svm = LinearSVM()\n", "tic = time.time()\n", "loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=5e4,\n", " num_iters=1500, verbose=True)\n", "toc = time.time()\n", "print 'That took %fs' % (toc - tic)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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WV8KSvCrJd0opnyylbC2lbCql/LSQlVJWJlmU5PI9x2qtDyX5VpIzO4dOS1MoR865Jcnm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\nX++fdatW+WtXrvQ2/O47r+MOHXzf6dbNY9myxWP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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# A useful debugging strategy is to plot the loss as a function of\n", "# iteration number:\n", "plt.plot(loss_hist)\n", "plt.xlabel('Iteration number')\n", "plt.ylabel('Loss value')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "training accuracy: 0.370429\n", "validation accuracy: 0.373000\n" ] } ], "source": [ "# Write the LinearSVM.predict function and evaluate the performance on both the\n", "# training and validation set\n", "y_train_pred = svm.predict(X_train)\n", "print 'training accuracy: %f' % (np.mean(y_train == y_train_pred), )\n", "y_val_pred = svm.predict(X_val)\n", "print 'validation accuracy: %f' % (np.mean(y_val == y_val_pred), )" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false, "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "cs231n/classifiers/linear_svm.py:88: RuntimeWarning: overflow encountered in double_scalars\n", " loss = np.sum(margins) / num_train + 0.5 * reg * np.sum(W * W)\n", "cs231n/classifiers/linear_svm.py:88: RuntimeWarning: overflow encountered in multiply\n", " loss = np.sum(margins) / num_train + 0.5 * reg * np.sum(W * W)\n", "cs231n/classifiers/linear_svm.py:109: RuntimeWarning: overflow encountered in multiply\n", " dW += X.T.dot(margins) / num_train + reg * W\n", "cs231n/classifiers/linear_svm.py:103: RuntimeWarning: invalid value encountered in greater\n", " margins[margins > 0] = 1.0\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "lr 1.000000e-07 reg 5.000000e+04 train accuracy: 0.372245 val accuracy: 0.372000\n", "lr 1.000000e-07 reg 1.000000e+05 train accuracy: 0.359306 val accuracy: 0.371000\n", "lr 5.000000e-05 reg 5.000000e+04 train accuracy: 0.067245 val accuracy: 0.065000\n", "lr 5.000000e-05 reg 1.000000e+05 train accuracy: 0.100265 val accuracy: 0.087000\n", "best validation accuracy achieved during cross-validation: 0.372000\n" ] } ], "source": [ "# Use the validation set to tune hyperparameters (regularization strength and\n", "# learning rate). You should experiment with different ranges for the learning\n", "# rates and regularization strengths; if you are careful you should be able to\n", "# get a classification accuracy of about 0.4 on the validation set.\n", "learning_rates = [1e-7, 5e-5]\n", "regularization_strengths = [5e4, 1e5]\n", "# learning_rates = [1e-7, 2e-7, 3e-7, 5e-5, 8e-7]\n", "# regularization_strengths = [1e4, 2e4, 3e4, 4e4, 5e4, 6e4, 7e4, 8e4, 1e5]\n", "\n", "# results is dictionary mapping tuples of the form\n", "# (learning_rate, regularization_strength) to tuples of the form\n", "# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\n", "# of data points that are correctly classified.\n", "results = {}\n", "best_val = -1 # The highest validation accuracy that we have seen so far.\n", "best_svm = None # The LinearSVM object that achieved the highest validation rate.\n", "\n", "################################################################################\n", "# TODO: #\n", "# Write code that chooses the best hyperparameters by tuning on the validation #\n", "# set. For each combination of hyperparameters, train a linear SVM on the #\n", "# training set, compute its accuracy on the training and validation sets, and #\n", "# store these numbers in the results dictionary. In addition, store the best #\n", "# validation accuracy in best_val and the LinearSVM object that achieves this #\n", "# accuracy in best_svm. #\n", "# #\n", "# Hint: You should use a small value for num_iters as you develop your #\n", "# validation code so that the SVMs don't take much time to train; once you are #\n", "# confident that your validation code works, you should rerun the validation #\n", "# code with a larger value for num_iters. #\n", "################################################################################\n", "for rate in learning_rates:\n", " for strength in regularization_strengths:\n", " svm = LinearSVM()\n", " svm.train(X_train, y_train, learning_rate=rate, reg=strength,\n", " num_iters=1500, verbose=False)\n", " learning_accuracy = np.mean(svm.predict(X_train) == y_train)\n", " validation_accuracy = np.mean(svm.predict(X_val) == y_val)\n", " if validation_accuracy > best_val:\n", " best_val = validation_accuracy\n", " best_svm = svm\n", " results[(rate, strength)] = (learning_accuracy, validation_accuracy)\n", "################################################################################\n", "# END OF YOUR CODE #\n", "################################################################################\n", " \n", "# Print out results.\n", "for lr, reg in sorted(results):\n", " train_accuracy, val_accuracy = results[(lr, reg)]\n", " print 'lr %e reg %e train accuracy: %f val accuracy: %f' % (\n", " lr, reg, train_accuracy, val_accuracy)\n", " \n", "print 'best validation accuracy achieved during cross-validation: %f' % best_val" ] }, { "cell_type": "code", "execution_count": 117, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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63Pb6GaA98D3wharWSnWV+E4AExUVRdGiRVmwYAFlypSxa7Njxw569erFqVOn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\nKaWUUqqdLGBSSimlVDv/A5pSwDbyQNrYAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualize the cross-validation results\n", "import math\n", "x_scatter = [math.log10(x[0]) for x in results]\n", "y_scatter = [math.log10(x[1]) for x in results]\n", "\n", "# plot training accuracy\n", "marker_size = 100\n", "colors = [results[x][0] for x in results]\n", "plt.subplot(2, 1, 1)\n", "plt.scatter(x_scatter, y_scatter, marker_size, c=colors)\n", "plt.colorbar()\n", "plt.xlabel('log learning rate')\n", "plt.ylabel('log regularization strength')\n", "plt.title('CIFAR-10 training accuracy')\n", "\n", "# plot validation accuracy\n", "colors = [results[x][1] for x in results] # default size of markers is 20\n", "plt.subplot(2, 1, 2)\n", "plt.scatter(x_scatter, y_scatter, marker_size, c=colors)\n", "plt.colorbar()\n", "plt.xlabel('log learning rate')\n", "plt.ylabel('log regularization strength')\n", "plt.title('CIFAR-10 validation accuracy')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 118, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "linear SVM on raw pixels final test set accuracy: 0.381000\n" ] } ], "source": [ "# Evaluate the best svm on test set\n", "y_test_pred = best_svm.predict(X_test)\n", "test_accuracy = np.mean(y_test == y_test_pred)\n", "print 'linear SVM on raw pixels final test set accuracy: %f' % test_accuracy" ] }, { "cell_type": "code", "execution_count": 119, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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1+6jddiyYhHMEx2fdMmEo2nfnfb5C0lommMyRqHUFCS+ldI5tBxnmcth5H2zh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\nm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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualize the learned weights for each class.\n", "# Depending on your choice of learning rate and regularization strength, these may\n", "# or may not be nice to look at.\n", "w = best_svm.W[:-1,:] # strip out the bias\n", "w = w.reshape(32, 32, 3, 10)\n", "w_min, w_max = np.min(w), np.max(w)\n", "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n", "for i in xrange(10):\n", " plt.subplot(2, 5, i + 1)\n", " \n", " # Rescale the weights to be between 0 and 255\n", " wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n", " plt.imshow(wimg.astype('uint8'))\n", " plt.axis('off')\n", " plt.title(classes[i])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Inline question 2:\n", "Describe what your visualized SVM weights look like, and offer a brief explanation for why they look they way that they do.\n", "\n", "**Your answer:** *fill this in*" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }