{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": {}, "colab_type": "code", "id": "-ZAknlBpEnJl" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Using TensorFlow backend.\n" ] } ], "source": [ "import pickle\n", "import keras\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from mpl_toolkits.mplot3d import Axes3D\n", "from skimage import transform\n", "from sklearn.metrics import accuracy_score\n", "from keras import backend as K\n", "\n", "plt.rcParams['image.cmap'] = 'viridis'\n", "plt.rcParams['axes.grid'] = False\n", "plt.rcParams['figure.figsize'] = (7, 4)\n", "plt.rcParams['font.family'] = 'serif'\n", "plt.rcParams['font.serif'] = 'FreeSerif'\n", "plt.rcParams['lines.linewidth'] = 1.4\n", "plt.rcParams['lines.markersize'] = 8\n", "plt.rcParams['xtick.labelsize'] = 16\n", "plt.rcParams['ytick.labelsize'] = 16\n", "plt.rcParams['legend.fontsize'] = 16\n", "plt.rcParams['axes.titlesize'] = 22\n", "plt.rcParams['axes.labelsize'] = 16" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from IPython.display import HTML, display\n", "\n", "# Progress bar drawer\n", "def progress(percent, info):\n", " return HTML(\"\"\"\n", " \n", "

{info}

\n", " \"\"\".format(percent=100*percent, info=info))" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "o5fF6xM3EnJ1" }, "source": [ "### Данные:\n", "Будем работать с датасетом [FashionMNIST](https://github.com/zalandoresearch/fashion-mnist). " ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": {}, "colab_type": "code", "id": "tgFHpSctEnJ2" }, "outputs": [], "source": [ "from keras.datasets import fashion_mnist\n", "\n", "(X_train, y_train), (X_test, y_test) = fashion_mnist.load_data()\n", "del y_train, y_test" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 364 }, "colab_type": "code", "id": "IZHAXqcqEnJ9", "outputId": "dbd1d9e5-6e16-47ec-e874-5fa18470be7e" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.imshow(X_train[9].reshape([28,28]))" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 364 }, "colab_type": "code", "id": "-SVsG_a3EnKE", "outputId": "7e5aea0d-76c6-49b6-ba63-c99cdd72f2d2" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.imshow(transform.rotate(X_train[9].reshape([28,28]), 45))" ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "-e6ltH9sEnKM" }, "source": [ "### Задание.\n", "Ваша задача - определить, при каком минимальном угле поворота нейронная сеть фиксированной архитектуры перестает различать обычное и повертнутое изображение. Говоря формально, решаем задачу классификации, исходные изображения принадлежат классу `0`, повернутые - классу `1`. Оцените точность классификации по метрике `accuracy` и ее дисперсию в зависимости от угла поворота изображения и отобразите данную зависимость на графике.\n", "\n", "Функция `rotate_dataset` поворачивает поданный датасет на заданный угол. Функция `reset_weights` сбрасывает параметры модели.\n", "\n", "*Обращаем ваше внимание, что для качественной оценки данных зависимостей эксперименты для каждого размера выборки стоит повторять многократно на различных случайных подвыборках.*" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": {}, "colab_type": "code", "id": "4weci2IzEnKZ" }, "outputs": [], "source": [ "def rotate_dataset(dataset, angle):\n", " return np.array(list(map(lambda x: transform.rotate(x, angle), dataset)))" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": {}, "colab_type": "code", "id": "jmoKhldzEnKf" }, "outputs": [], "source": [ "def get_X_and_y(base_dataset, angle):\n", " rotated_datased = rotate_dataset(base_dataset, angle)\n", " whole_dataset = np.vstack((base_dataset, rotated_datased)).reshape(-1, 784)\n", " shuffled_indices = np.arange(len(whole_dataset))\n", " \n", " _labels = np.zeros(2*base_dataset.shape[0], dtype=bool)\n", " _labels[base_dataset.shape[0]:] = True\n", " _labels = _labels[:, None]\n", " \n", " whole_labels = np.array(np.hstack((_labels, ~_labels)), dtype=int)\n", " \n", " np.random.shuffle(shuffled_indices) \n", " whole_dataset = whole_dataset[shuffled_indices]\n", " whole_labels = whole_labels[shuffled_indices]\n", " \n", " return whole_dataset, whole_labels\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": {}, "colab_type": "code", "id": "LxdH52uBEnKq" }, "outputs": [], "source": [ "# Doesn't work\n", "def reset_layers(model):\n", " session = K.get_session()\n", " for layer in model.layers: \n", " if isinstance(layer, keras.engine.network.Network):\n", " reinitLayers(layer)\n", " continue\n", " for v in layer.__dict__:\n", " v_arg = getattr(layer,v)\n", " if hasattr(v_arg,'initializer'):\n", " initializer_method = getattr(v_arg, 'initializer')\n", " initializer_method.run(session=session)\n", " \n", "def get_model():\n", " model = keras.models.Sequential()\n", " model.add(keras.layers.InputLayer([784]))\n", " model.add(keras.layers.Dense(64))\n", " model.add(keras.layers.Activation('relu'))\n", " model.add(keras.layers.Dropout(0.5))\n", " model.add(keras.layers.Dense(2))\n", " model.add(keras.layers.Activation('softmax'))\n", " model.compile('adam', 'categorical_crossentropy', \n", " metrics=['accuracy'])\n", " return model" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": {}, "colab_type": "code", "id": "y1aLFAY1EnLT" }, "outputs": [ { "data": { "text/html": [ "\n", " \n", "

\n", "N = 500, \n", "angle_train = 330/360, \n", "angle_test = 330/360, \n", "fold = 3/3\n", "

\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "batch_size = 128\n", "nepochs = 40\n", "nfolds = 3\n", "angle_step = 30\n", "Ns = [500]\n", "\n", "nsizes = len(Ns)\n", "angle_range = range(angle_step, 360, angle_step)\n", "nangles = len(angle_range)\n", "# results = nsizes x ntrain_angles x ntest_angles x nfolds \n", "results = np.empty((nsizes, nangles, nangles, nfolds))\n", "\n", "out = display(progress(0, ''), display_id=True)\n", "nsteps = results.size\n", "step = 0\n", "info = \"\"\"\n", "N = {k}, \n", "angle_train = {angle_train}/360, \n", "angle_test = {angle_test}/360, \n", "fold = {fold}/{nfolds}\n", "\"\"\"\n", "model = get_model()\n", "for k_N in range(nsizes):\n", " for k_angle_train, angle_train in enumerate(angle_range):\n", " for k_angle_test, angle_test in enumerate(angle_range):\n", " for fold in range(nfolds):\n", " step += 1\n", " out.update(progress(step/nsteps, \n", " info.format(k=Ns[k_N],\n", " angle_train=angle_train,\n", " angle_test=angle_test,\n", " fold=fold+1,\n", " nfolds=nfolds)))\n", " \n", " base_indices = np.random.choice(np.arange(X_train.shape[0]), \n", " size=Ns[k_N], replace=False)\n", " base_dataset = X_train[base_indices]\n", " X, y = get_X_and_y(base_dataset, angle_train)\n", " \n", " model.fit(X, y, batch_size=batch_size, epochs=nepochs, \n", " verbose=0)\n", " \n", " X_test_whole, y_test_whole = get_X_and_y(X_test, angle_test)\n", " \n", " y_test_predicted_whole = model.predict_classes(X_test_whole)\n", " results[k_N, \n", " k_angle_train, \n", " k_angle_test, \n", " fold] = accuracy_score(y_test_whole[:, 1], \n", " y_test_predicted_whole)\n", " reset_layers(model)\n", " \n", "np.save('results.npy', results) " ] }, { "cell_type": "code", "execution_count": 143, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "results = np.load('results.npy') \n", "\n", "results_mean = np.mean(results, axis=3)\n", "results_std = np.std(results, axis=3)\n", "\n", "fig = plt.figure(figsize=(11, 7))\n", "ax = fig.add_subplot(111, projection='3d')\n", "ax.set_title('Зависимость точности от угла поворота')\n", "ax.set_xlabel(r'Поворот выборки (train), $\\theta_{train}$')\n", "ax.set_ylabel(r'Поворот выборки (test), $\\theta_{test}$')\n", "ax.set_zlabel(r'Точность, $\\frac{correct}{total}$')\n", "ax.view_init(30, 240)\n", "\n", "xs = np.arange(angle_step, 360, angle_step)\n", "X, Y = np.meshgrid(xs, xs)\n", "\n", "colors = plt.rcParams['axes.prop_cycle'].by_key()['color']\n", "for k, N in enumerate(Ns):\n", " ax.scatter(X, Y, results_mean[k], s=40, label=f'N = {N}', c=colors[k])\n", " im = ax.contourf(X, Y, results_mean[k], offset=0)\n", "for k, N in enumerate(Ns):\n", " mean_rav = results_mean[k].ravel()\n", " std_rav = results_std[k].ravel()\n", " X_rav = X.ravel()\n", " Y_rav = Y.ravel()\n", " for i in range(X.size):\n", " ax.plot([X_rav[i], X_rav[i]], \n", " [Y_rav[i], Y_rav[i]], \n", " [mean_rav[i] - std_rav[i], mean_rav[i] + std_rav[i]], \n", " marker='_', lw=1.3, alpha=0.4, c='r')\n", "\n", "ax.set_xticks(np.arange(0, 360, angle_step*2))\n", "ax.set_yticks(np.arange(0, 360, angle_step*2))\n", "ax.set_zlim(0, 1)\n", "ax.grid()\n", "# ax.legend()\n", "fig.colorbar(im, orientation='vertical',\n", " label=r'Точность, $\\frac{correct}{total}$')\n", "fig.savefig('ModelFashion.png')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Вывод\n", "\n", "Наибольшая обобщающая способность модели наблюдается, когда угол поворота тестовой выборки превосходит некоторое пороговое значение (~$20^o$). При меньших значениях повёрнутая и не повёрнутая картинки отличаются слишком слабо. Качество ведёт себя периодично с периодом ~$180^o$. Это объясняется тем, что исходная и перевёрнутая версия картинки достаточно похожи. " ] } ], "metadata": { "colab": { "name": "Artemenkov2018Fashion.ipynb", "provenance": [], "version": "0.3.2" }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.0" }, "toc": { "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 1 }