{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "*Python Machine Learning 3rd Edition* by [Sebastian Raschka](https://sebastianraschka.com) & [Vahid Mirjalili](http://vahidmirjalili.com), Packt Publishing Ltd. 2019\n", "\n", "Code Repository: https://github.com/rasbt/python-machine-learning-book-3rd-edition\n", "\n", "Code License: [MIT License](https://github.com/rasbt/python-machine-learning-book-3rd-edition/blob/master/LICENSE.txt)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Chapter 14: Going Deeper -- the Mechanics of TensorFlow (Part 1/3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that the optional watermark extension is a small IPython notebook plugin that I developed to make the code reproducible. You can just skip the following line(s)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sebastian Raschka & Vahid Mirjalili \n", "last updated: 2019-11-03 \n", "\n", "numpy 1.17.3\n", "scipy 1.3.1\n", "matplotlib 3.1.1\n", "tensorflow 2.0.0\n" ] } ], "source": [ "%load_ext watermark\n", "%watermark -a \"Sebastian Raschka & Vahid Mirjalili\" -u -d -p numpy,scipy,matplotlib,tensorflow" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from IPython.display import Image\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The key features of TensorFlow\n", "\n", "### TensorFlow's computation graphs: migrating to TensorFlow v2\n", "\n", "### Understanding computation graphs\n", "\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 3, "metadata": { "image/png": { "width": 500 } }, "output_type": "execute_result" } ], "source": [ "Image(filename='images/01.png', width=500)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating a graph in TensorFlow v1.x\n", "\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "import tensorflow as tf\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Result: z = 1\n", "Result: z = 1\n" ] } ], "source": [ "## TF-v1.x style\n", "\n", "g = tf.Graph()\n", "with g.as_default():\n", " a = tf.constant(1, name='a')\n", " b = tf.constant(2, name='b')\n", " c = tf.constant(3, name='c')\n", " z = 2*(a - b) + c\n", " \n", "with tf.compat.v1.Session(graph=g) as sess:\n", " print('Result: z =', sess.run(z))\n", " print('Result: z =', z.eval())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Migrating a graph to TensorFlow v2" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Result: z = 1\n" ] } ], "source": [ "## TF v2 style\n", "a = tf.constant(1, name='a')\n", "b = tf.constant(2, name='b')\n", "c = tf.constant(3, name='c')\n", "\n", "z = 2*(a - b) + c\n", "tf.print('Result: z =', z)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Loading input data into a model: TensorFlow v1.x style" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Result: z = 1\n" ] } ], "source": [ "## TF-v1.x style\n", "g = tf.Graph()\n", "with g.as_default():\n", " a = tf.compat.v1.placeholder(shape=None, dtype=tf.int32, name='tf_a')\n", " b = tf.compat.v1.placeholder(shape=None, dtype=tf.int32, name='tf_b')\n", " c = tf.compat.v1.placeholder(shape=None, dtype=tf.int32, name='tf_c')\n", " z = 2*(a - b) + c\n", " \n", "with tf.compat.v1.Session(graph=g) as sess:\n", " feed_dict = {a:1, b:2, c:3}\n", " print('Result: z =', sess.run(z, feed_dict=feed_dict))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Loading input data into a model: TensorFlow v2 style" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Scalar Inputs: 1\n", "Rank 1 Inputs: [1]\n", "Rank 2 Inputs: [[1]]\n" ] } ], "source": [ "## TF-v2 style\n", "def compute_z(a, b, c):\n", " r1 = tf.subtract(a, b)\n", " r2 = tf.multiply(2, r1)\n", " z = tf.add(r2, c)\n", " return z\n", "\n", "tf.print('Scalar Inputs:', compute_z(1, 2, 3))\n", "tf.print('Rank 1 Inputs:', compute_z([1], [2], [3]))\n", "tf.print('Rank 2 Inputs:', compute_z([[1]], [[2]], [[3]]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Improving computational performance with function decorators" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Scalar Inputs: 1\n", "Rank 1 Inputs: [1]\n", "Rank 2 Inputs: [[1]]\n" ] } ], "source": [ "@tf.function\n", "def compute_z(a, b, c):\n", " r1 = tf.subtract(a, b)\n", " r2 = tf.multiply(2, r1)\n", " z = tf.add(r2, c)\n", " return z\n", "\n", "tf.print('Scalar Inputs:', compute_z(1, 2, 3))\n", "tf.print('Rank 1 Inputs:', compute_z([1], [2], [3]))\n", "tf.print('Rank 2 Inputs:', compute_z([[1]], [[2]], [[3]]))" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Rank 1 Inputs: [1]\n", "Rank 1 Inputs: [1 2]\n" ] } ], "source": [ "@tf.function(input_signature=(tf.TensorSpec(shape=[None], dtype=tf.int32),\n", " tf.TensorSpec(shape=[None], dtype=tf.int32),\n", " tf.TensorSpec(shape=[None], dtype=tf.int32),))\n", "def compute_z(a, b, c):\n", " r1 = tf.subtract(a, b)\n", " r2 = tf.multiply(2, r1)\n", " z = tf.add(r2, c)\n", " return z\n", "\n", "tf.print('Rank 1 Inputs:', compute_z([1], [2], [3]))\n", "tf.print('Rank 1 Inputs:', compute_z([1, 2], [2, 4], [3, 6]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```python\n", "## we expect this to result in an error\n", "tf.print('Rank 2 Inputs:', compute_z([[1], [2]], [[2], [4]], [[3], [6]]))\n", "\n", "\n", "## >> Error:\n", "#ValueError: Python inputs incompatible with input_signature: \n", "#inputs (([[1], [2]], [[2], [4]], [[3], [6]])), input_signature \n", "#((TensorSpec(shape=(None,), dtype=tf.int32, name=None), \n", "# TensorSpec(shape=(None,), dtype=tf.int32, name=None), \n", "# TensorSpec(shape=(None,), dtype=tf.int32, name=None)))\n", "```" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "TensorSpec(shape=(None,), dtype=tf.int32, name=None)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tf.TensorSpec(shape=[None], dtype=tf.int32)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## TensorFlow Variable objects for storing and updating model parameters" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\n", "\n" ] } ], "source": [ "a = tf.Variable(initial_value=3.14, name='var_a')\n", "b = tf.Variable(initial_value=[1, 2, 3], name='var_b')\n", "c = tf.Variable(initial_value=[True, False], dtype=tf.bool)\n", "d = tf.Variable(initial_value=['abc'], dtype=tf.string)\n", "print(a)\n", "print(b)\n", "print(c)\n", "print(d)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "a.trainable" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "False\n" ] } ], "source": [ "w = tf.Variable([1, 2, 3], trainable=False)\n", "\n", "print(w.trainable)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "tf.Tensor([5 0 6], shape=(3,), dtype=int32)\n" ] } ], "source": [ "print(w.assign([3, 1, 4], read_value=True))\n", "w.assign_add([2, -1, 2], read_value=False)\n", "\n", "print(w.value())" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[-0.722795904 1.01456821 0.251808226]\n" ] } ], "source": [ "tf.random.set_seed(1)\n", "init = tf.keras.initializers.GlorotNormal()\n", "\n", "tf.print(init(shape=(3,)))" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[0.28982234 -0.782292783 -0.0453658961]\n", " [0.960991383 -0.120003454 0.708528221]]\n" ] } ], "source": [ "v = tf.Variable(init(shape=(2, 3)))\n", "tf.print(v)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "All module variables: [TensorShape([2, 3]), TensorShape([1, 2])]\n", "Trainable variable: [TensorShape([2, 3])]\n" ] } ], "source": [ "class MyModule(tf.Module):\n", " def __init__(self):\n", " init = tf.keras.initializers.GlorotNormal()\n", " self.w1 = tf.Variable(init(shape=(2, 3)), trainable=True)\n", " self.w2 = tf.Variable(init(shape=(1, 2)), trainable=False)\n", " \n", "m = MyModule()\n", "print('All module variables: ', [v.shape for v in m.variables])\n", "print('Trainable variable: ', [v.shape for v in\n", " m.trainable_variables])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Variables with tf.function" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```python\n", "\n", "## this will produce an error\n", "## ==> you cannot create a varibale inside a\n", "## decorated function\n", "\n", "@tf.function\n", "def f(x):\n", " w = tf.Variable([1, 2, 3])\n", "\n", "f([1])\n", "\n", "## ==> results in error\n", "## ValueError: tf.function-decorated function tried to create variables on non-first call.\n", "\n", "```" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[3.8610158]\n", " [2.94593048]\n", " [3.82629013]]\n" ] } ], "source": [ "import tensorflow as tf\n", "\n", "tf.random.set_seed(1)\n", "w = tf.Variable(tf.random.uniform((3, 3)))\n", "\n", "@tf.function\n", "def compute_z(x): \n", " return tf.matmul(w, x)\n", "\n", "x = tf.constant([[1], [2], [3]], dtype=tf.float32)\n", "tf.print(compute_z(x))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Computing gradients via automatic differentiation and GradientTape\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Computing the gradients of the loss with respect to trainable variables" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "True True\n", "dL/dw : -0.559999764\n" ] } ], "source": [ "import tensorflow as tf\n", "\n", "w = tf.Variable(1.0)\n", "b = tf.Variable(0.5)\n", "print(w.trainable, b.trainable)\n", "\n", "x = tf.convert_to_tensor([1.4])\n", "y = tf.convert_to_tensor([2.1])\n", "\n", "with tf.GradientTape() as tape:\n", " z = tf.add(tf.multiply(w, x), b)\n", " loss = tf.reduce_sum(tf.square(y - z))\n", "\n", "dloss_dw = tape.gradient(loss, w)\n", "\n", "tf.print('dL/dw : ', dloss_dw)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[-0.559999764]\n" ] } ], "source": [ "# verifying the computed gradient\n", "tf.print(2*x*(w*x+b-y))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Computing gradients with respect to non-trainable tensors\n", "\n", " Monitoring the non-trainable tensors via `tape.watch()`" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dL/dx: [-0.399999857]\n" ] } ], "source": [ "with tf.GradientTape() as tape:\n", " tape.watch(x)\n", " z = tf.add(tf.multiply(w, x), b)\n", " loss = tf.square(y - z)\n", "\n", "dloss_dx = tape.gradient(loss, x)\n", "\n", "tf.print('dL/dx:', dloss_dx)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[-0.399999857]\n" ] } ], "source": [ "# verifying the computed gradient\n", "tf.print(2*w*(w*x + b - y))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Keeping resources for multiple gradient computations \n", "\n", "via `persistent=True`" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dL/dw: -0.559999764\n", "dL/db: -0.399999857\n" ] } ], "source": [ "with tf.GradientTape(persistent=True) as tape:\n", " z = tf.add(tf.multiply(w, x), b)\n", " loss = tf.reduce_sum(tf.square(y - z))\n", "\n", "dloss_dw = tape.gradient(loss, w)\n", "dloss_db = tape.gradient(loss, b)\n", "\n", "tf.print('dL/dw:', dloss_dw)\n", "tf.print('dL/db:', dloss_db)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Updating variables: `optimizer.apply_gradients()`" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Updated w: 1.0056\n", "Updated bias: 0.504\n" ] } ], "source": [ "optimizer = tf.keras.optimizers.SGD()\n", "\n", "optimizer.apply_gradients(zip([dloss_dw, dloss_db], [w, b]))\n", "\n", "tf.print('Updated w:', w)\n", "tf.print('Updated bias:', b)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simplifying implementations of common architectures via the Keras API\n", "\n" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"sequential\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "dense (Dense) multiple 80 \n", "_________________________________________________________________\n", "dense_1 (Dense) multiple 544 \n", "=================================================================\n", "Total params: 624\n", "Trainable params: 624\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] } ], "source": [ "model = tf.keras.Sequential()\n", "model.add(tf.keras.layers.Dense(16, activation='relu'))\n", "model.add(tf.keras.layers.Dense(32, activation='relu'))\n", "\n", "## late variable creation\n", "model.build(input_shape=(None, 4))\n", "model.summary()" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dense/kernel:0 True (4, 16)\n", "dense/bias:0 True (16,)\n", "dense_1/kernel:0 True (16, 32)\n", "dense_1/bias:0 True (32,)\n" ] } ], "source": [ "## printing variables of the model\n", "for v in model.variables:\n", " print('{:20s}'.format(v.name), v.trainable, v.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Configuring layers\n", "\n", " * Keras Initializers `tf.keras.initializers`: https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/keras/initializers \n", " * Keras Regularizers `tf.keras.regularizers`: https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/keras/regularizers \n", " * Activations `tf.keras.activations`: https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/keras/activations " ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"sequential_1\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "dense_2 (Dense) multiple 80 \n", "_________________________________________________________________\n", "dense_3 (Dense) multiple 544 \n", "=================================================================\n", "Total params: 624\n", "Trainable params: 624\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] } ], "source": [ "model = tf.keras.Sequential()\n", "\n", "model.add(\n", " tf.keras.layers.Dense(\n", " units=16, \n", " activation=tf.keras.activations.relu,\n", " kernel_initializer=tf.keras.initializers.GlorotNormal(),\n", " bias_initializer=tf.keras.initializers.Constant(2.0)\n", " ))\n", "\n", "model.add(\n", " tf.keras.layers.Dense(\n", " units=32, \n", " activation=tf.keras.activations.sigmoid,\n", " kernel_regularizer=tf.keras.regularizers.l1\n", " ))\n", "\n", "model.build(input_shape=(None, 4))\n", "model.summary()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Compiling a model\n", "\n", " * Keras Optimizers `tf.keras.optimizers`: https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/keras/optimizers\n", " * Keras Loss Functins `tf.keras.losses`: https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/keras/losses\n", " * Keras Metrics `tf.keras.metrics`: https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/keras/metrics" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "model.compile(\n", " optimizer=tf.keras.optimizers.SGD(learning_rate=0.001),\n", " loss=tf.keras.losses.BinaryCrossentropy(),\n", " metrics=[tf.keras.metrics.Accuracy(), \n", " tf.keras.metrics.Precision(),\n", " tf.keras.metrics.Recall(),])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Solving an XOR classification problem" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "tf.random.set_seed(1)\n", "np.random.seed(1)\n", "\n", "x = np.random.uniform(low=-1, high=1, size=(200, 2))\n", "y = np.ones(len(x))\n", "y[x[:, 0] * x[:, 1]<0] = 0\n", "\n", "x_train = x[:100, :]\n", "y_train = y[:100]\n", "x_valid = x[100:, :]\n", "y_valid = y[100:]\n", "\n", "fig = plt.figure(figsize=(6, 6))\n", "plt.plot(x[y==0, 0], \n", " x[y==0, 1], 'o', alpha=0.75, markersize=10)\n", "plt.plot(x[y==1, 0], \n", " x[y==1, 1], '<', alpha=0.75, markersize=10)\n", "plt.xlabel(r'$x_1$', size=15)\n", "plt.ylabel(r'$x_2$', size=15)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"sequential_2\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "dense_4 (Dense) (None, 1) 3 \n", "=================================================================\n", "Total params: 3\n", "Trainable params: 3\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] } ], "source": [ "model = tf.keras.Sequential()\n", "model.add(tf.keras.layers.Dense(units=1, \n", " input_shape=(2,), \n", " activation='sigmoid'))\n", "\n", "model.summary()" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "model.compile(optimizer=tf.keras.optimizers.SGD(),\n", " loss=tf.keras.losses.BinaryCrossentropy(),\n", " metrics=[tf.keras.metrics.BinaryAccuracy()])" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "hist = model.fit(x_train, y_train, \n", " validation_data=(x_valid, y_valid), \n", " epochs=200, batch_size=2, verbose=0)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from mlxtend.plotting import plot_decision_regions\n", "\n", "history = hist.history\n", "\n", "fig = plt.figure(figsize=(16, 4))\n", "ax = fig.add_subplot(1, 3, 1)\n", "plt.plot(history['loss'], lw=4)\n", "plt.plot(history['val_loss'], lw=4)\n", "plt.legend(['Train loss', 'Validation loss'], fontsize=15)\n", "ax.set_xlabel('Epochs', size=15)\n", "\n", "ax = fig.add_subplot(1, 3, 2)\n", "plt.plot(history['binary_accuracy'], lw=4)\n", "plt.plot(history['val_binary_accuracy'], lw=4)\n", "plt.legend(['Train Acc.', 'Validation Acc.'], fontsize=15)\n", "ax.set_xlabel('Epochs', size=15)\n", "\n", "ax = fig.add_subplot(1, 3, 3)\n", "plot_decision_regions(X=x_valid, y=y_valid.astype(np.integer),\n", " clf=model)\n", "ax.set_xlabel(r'$x_1$', size=15)\n", "ax.xaxis.set_label_coords(1, -0.025)\n", "ax.set_ylabel(r'$x_2$', size=15)\n", "ax.yaxis.set_label_coords(-0.025, 1)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"sequential_3\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "dense_5 (Dense) (None, 4) 12 \n", "_________________________________________________________________\n", "dense_6 (Dense) (None, 4) 20 \n", "_________________________________________________________________\n", "dense_7 (Dense) (None, 4) 20 \n", "_________________________________________________________________\n", "dense_8 (Dense) (None, 1) 5 \n", "=================================================================\n", "Total params: 57\n", "Trainable params: 57\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] } ], "source": [ "tf.random.set_seed(1)\n", "\n", "model = tf.keras.Sequential()\n", "model.add(tf.keras.layers.Dense(units=4, input_shape=(2,), activation='relu'))\n", "model.add(tf.keras.layers.Dense(units=4, activation='relu'))\n", "model.add(tf.keras.layers.Dense(units=4, activation='relu'))\n", "model.add(tf.keras.layers.Dense(units=1, activation='sigmoid'))\n", "\n", "model.summary()\n", "\n", "## compile:\n", "model.compile(optimizer=tf.keras.optimizers.SGD(),\n", " loss=tf.keras.losses.BinaryCrossentropy(),\n", " metrics=[tf.keras.metrics.BinaryAccuracy()])\n", "\n", "## train:\n", "hist = model.fit(x_train, y_train, \n", " validation_data=(x_valid, y_valid), \n", " epochs=200, batch_size=2, verbose=0)\n", "\n", "history = hist.history" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(16, 4))\n", "ax = fig.add_subplot(1, 3, 1)\n", "plt.plot(history['loss'], lw=4)\n", "plt.plot(history['val_loss'], lw=4)\n", "plt.legend(['Train loss', 'Validation loss'], fontsize=15)\n", "ax.set_xlabel('Epochs', size=15)\n", "\n", "ax = fig.add_subplot(1, 3, 2)\n", "plt.plot(history['binary_accuracy'], lw=4)\n", "plt.plot(history['val_binary_accuracy'], lw=4)\n", "plt.legend(['Train Acc.', 'Validation Acc.'], fontsize=15)\n", "ax.set_xlabel('Epochs', size=15)\n", "\n", "ax = fig.add_subplot(1, 3, 3)\n", "plot_decision_regions(X=x_valid, y=y_valid.astype(np.integer),\n", " clf=model)\n", "ax.set_xlabel(r'$x_1$', size=15)\n", "ax.xaxis.set_label_coords(1, -0.025)\n", "ax.set_ylabel(r'$x_2$', size=15)\n", "ax.yaxis.set_label_coords(-0.025, 1)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Making model building more flexible with Keras' functional API\n", "\n" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"model\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "input_1 (InputLayer) [(None, 2)] 0 \n", "_________________________________________________________________\n", "dense_9 (Dense) (None, 4) 12 \n", "_________________________________________________________________\n", "dense_10 (Dense) (None, 4) 20 \n", "_________________________________________________________________\n", "dense_11 (Dense) (None, 4) 20 \n", "_________________________________________________________________\n", "dense_12 (Dense) (None, 1) 5 \n", "=================================================================\n", "Total params: 57\n", "Trainable params: 57\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] } ], "source": [ "tf.random.set_seed(1)\n", "\n", "## input layer:\n", "inputs = tf.keras.Input(shape=(2,))\n", "\n", "## hidden layers\n", "h1 = tf.keras.layers.Dense(units=4, activation='relu')(inputs)\n", "h2 = tf.keras.layers.Dense(units=4, activation='relu')(h1)\n", "h3 = tf.keras.layers.Dense(units=4, activation='relu')(h2)\n", "\n", "## output:\n", "outputs = tf.keras.layers.Dense(units=1, activation='sigmoid')(h3)\n", "\n", "## construct a model:\n", "model = tf.keras.Model(inputs=inputs, outputs=outputs)\n", "\n", "model.summary()" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "## compile:\n", "model.compile(optimizer=tf.keras.optimizers.SGD(),\n", " loss=tf.keras.losses.BinaryCrossentropy(),\n", " metrics=[tf.keras.metrics.BinaryAccuracy()])\n", "\n", "## train:\n", "hist = model.fit(x_train, y_train, \n", " validation_data=(x_valid, y_valid), \n", " epochs=200, batch_size=2, verbose=0)\n", "\n", "## Plotting\n", "history = hist.history\n", "\n", "fig = plt.figure(figsize=(16, 4))\n", "ax = fig.add_subplot(1, 3, 1)\n", "plt.plot(history['loss'], lw=4)\n", "plt.plot(history['val_loss'], lw=4)\n", "plt.legend(['Train loss', 'Validation loss'], fontsize=15)\n", "ax.set_xlabel('Epochs', size=15)\n", "\n", "ax = fig.add_subplot(1, 3, 2)\n", "plt.plot(history['binary_accuracy'], lw=4)\n", "plt.plot(history['val_binary_accuracy'], lw=4)\n", "plt.legend(['Train Acc.', 'Validation Acc.'], fontsize=15)\n", "ax.set_xlabel('Epochs', size=15)\n", "\n", "ax = fig.add_subplot(1, 3, 3)\n", "plot_decision_regions(X=x_valid, y=y_valid.astype(np.integer),\n", " clf=model)\n", "ax.set_xlabel(r'$x_1$', size=15)\n", "ax.xaxis.set_label_coords(1, -0.025)\n", "ax.set_ylabel(r'$x_2$', size=15)\n", "ax.yaxis.set_label_coords(-0.025, 1)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Implementing models based on Keras' Model class\n", "\n", "#### Sub-classing `tf.keras.Model`\n", "\n", " * define `__init__()`\n", " * define `call()`" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"my_model\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "dense_13 (Dense) multiple 12 \n", "_________________________________________________________________\n", "dense_14 (Dense) multiple 20 \n", "_________________________________________________________________\n", "dense_15 (Dense) multiple 20 \n", "_________________________________________________________________\n", "dense_16 (Dense) multiple 5 \n", "=================================================================\n", "Total params: 57\n", "Trainable params: 57\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "class MyModel(tf.keras.Model):\n", " def __init__(self):\n", " super(MyModel, self).__init__()\n", " self.hidden_1 = tf.keras.layers.Dense(units=4, activation='relu')\n", " self.hidden_2 = tf.keras.layers.Dense(units=4, activation='relu')\n", " self.hidden_3 = tf.keras.layers.Dense(units=4, activation='relu')\n", " self.output_layer = tf.keras.layers.Dense(units=1, activation='sigmoid')\n", " \n", " def call(self, inputs):\n", " h = self.hidden_1(inputs)\n", " h = self.hidden_2(h)\n", " h = self.hidden_3(h)\n", " return self.output_layer(h)\n", " \n", "tf.random.set_seed(1)\n", "\n", "## testing:\n", "model = MyModel()\n", "model.build(input_shape=(None, 2))\n", "\n", "model.summary()\n", "\n", "## compile:\n", "model.compile(optimizer=tf.keras.optimizers.SGD(),\n", " loss=tf.keras.losses.BinaryCrossentropy(),\n", " metrics=[tf.keras.metrics.BinaryAccuracy()])\n", "\n", "## train:\n", "hist = model.fit(x_train, y_train, \n", " validation_data=(x_valid, y_valid), \n", " epochs=200, batch_size=2, verbose=0)\n", "\n", "## Plotting\n", "history = hist.history\n", "\n", "fig = plt.figure(figsize=(16, 4))\n", "ax = fig.add_subplot(1, 3, 1)\n", "plt.plot(history['loss'], lw=4)\n", "plt.plot(history['val_loss'], lw=4)\n", "plt.legend(['Train loss', 'Validation loss'], fontsize=15)\n", "ax.set_xlabel('Epochs', size=15)\n", "\n", "ax = fig.add_subplot(1, 3, 2)\n", "plt.plot(history['binary_accuracy'], lw=4)\n", "plt.plot(history['val_binary_accuracy'], lw=4)\n", "plt.legend(['Train Acc.', 'Validation Acc.'], fontsize=15)\n", "ax.set_xlabel('Epochs', size=15)\n", "\n", "ax = fig.add_subplot(1, 3, 3)\n", "plot_decision_regions(X=x_valid, y=y_valid.astype(np.integer),\n", " clf=model)\n", "ax.set_xlabel(r'$x_1$', size=15)\n", "ax.xaxis.set_label_coords(1, -0.025)\n", "ax.set_ylabel(r'$x_2$', size=15)\n", "ax.yaxis.set_label_coords(-0.025, 1)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Writing custom Keras layers\n", "\n", "\n", "#### Defining a custom layer:\n", " * Define `__init__()`\n", " * Define `build()` for late-variable creation\n", " * Define `call()`\n", " * Define `get_config()` for serialization" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[0 0.00821428 0 0]]\n", "[[0 0.0108502861 0 0]]\n" ] } ], "source": [ "class NoisyLinear(tf.keras.layers.Layer):\n", " def __init__(self, output_dim, noise_stddev=0.1, **kwargs):\n", " self.output_dim = output_dim\n", " self.noise_stddev = noise_stddev\n", " super(NoisyLinear, self).__init__(**kwargs)\n", "\n", " def build(self, input_shape):\n", " self.w = self.add_weight(name='weights',\n", " shape=(input_shape[1], self.output_dim),\n", " initializer='random_normal',\n", " trainable=True)\n", " \n", " self.b = self.add_weight(shape=(self.output_dim,),\n", " initializer='zeros',\n", " trainable=True)\n", "\n", " def call(self, inputs, training=False):\n", " if training:\n", " batch = tf.shape(inputs)[0]\n", " dim = tf.shape(inputs)[1]\n", " noise = tf.random.normal(shape=(batch, dim),\n", " mean=0.0,\n", " stddev=self.noise_stddev)\n", "\n", " noisy_inputs = tf.add(inputs, noise)\n", " else:\n", " noisy_inputs = inputs\n", " z = tf.matmul(noisy_inputs, self.w) + self.b\n", " return tf.keras.activations.relu(z)\n", " \n", " def get_config(self):\n", " config = super(NoisyLinear, self).get_config()\n", " config.update({'output_dim': self.output_dim,\n", " 'noise_stddev': self.noise_stddev})\n", " return config\n", "\n", "\n", "## testing:\n", "\n", "tf.random.set_seed(1)\n", "\n", "noisy_layer = NoisyLinear(4)\n", "noisy_layer.build(input_shape=(None, 4))\n", "\n", "x = tf.zeros(shape=(1, 4))\n", "tf.print(noisy_layer(x, training=True))\n", "\n", "## re-building from config:\n", "config = noisy_layer.get_config()\n", "new_layer = NoisyLinear.from_config(config)\n", "tf.print(new_layer(x, training=True))" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"sequential_4\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "noisy_linear_1 (NoisyLinear) multiple 12 \n", "_________________________________________________________________\n", "dense_17 (Dense) multiple 20 \n", "_________________________________________________________________\n", "dense_18 (Dense) multiple 20 \n", "_________________________________________________________________\n", "dense_19 (Dense) multiple 5 \n", "=================================================================\n", "Total params: 57\n", "Trainable params: 57\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "tf.random.set_seed(1)\n", "\n", "model = tf.keras.Sequential([\n", " NoisyLinear(4, noise_stddev=0.1),\n", " tf.keras.layers.Dense(4, activation='relu'),\n", " tf.keras.layers.Dense(4, activation='relu'),\n", " tf.keras.layers.Dense(1, activation='sigmoid')])\n", "\n", "model.build(input_shape=(None, 2))\n", "model.summary()\n", "\n", "## compile:\n", "model.compile(optimizer=tf.keras.optimizers.SGD(),\n", " loss=tf.keras.losses.BinaryCrossentropy(),\n", " metrics=[tf.keras.metrics.BinaryAccuracy()])\n", "\n", "## train:\n", "hist = model.fit(x_train, y_train, \n", " validation_data=(x_valid, y_valid), \n", " epochs=200, batch_size=2, \n", " verbose=0)\n", "\n", "## Plotting\n", "history = hist.history\n", "\n", "fig = plt.figure(figsize=(16, 4))\n", "ax = fig.add_subplot(1, 3, 1)\n", "plt.plot(history['loss'], lw=4)\n", "plt.plot(history['val_loss'], lw=4)\n", "plt.legend(['Train loss', 'Validation loss'], fontsize=15)\n", "ax.set_xlabel('Epochs', size=15)\n", "\n", "ax = fig.add_subplot(1, 3, 2)\n", "plt.plot(history['binary_accuracy'], lw=4)\n", "plt.plot(history['val_binary_accuracy'], lw=4)\n", "plt.legend(['Train Acc.', 'Validation Acc.'], fontsize=15)\n", "ax.set_xlabel('Epochs', size=15)\n", "\n", "ax = fig.add_subplot(1, 3, 3)\n", "plot_decision_regions(X=x_valid, y=y_valid.astype(np.integer),\n", " clf=model)\n", "ax.set_xlabel(r'$x_1$', size=15)\n", "ax.xaxis.set_label_coords(1, -0.025)\n", "ax.set_ylabel(r'$x_2$', size=15)\n", "ax.yaxis.set_label_coords(-0.025, 1)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "..." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---\n", "\n", "Readers may ignore the next cell." ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[NbConvertApp] Converting notebook ch14_part1.ipynb to script\n", "[NbConvertApp] Writing 19918 bytes to ch14_part1.py\n" ] } ], "source": [ "! python ../.convert_notebook_to_script.py --input ch14_part1.ipynb --output ch14_part1.py" ] } ], "metadata": { "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": "3.7.4" } }, "nbformat": 4, "nbformat_minor": 4 }