From bc00f10def69164c155b9e2102c39ce15abb461a Mon Sep 17 00:00:00 2001 From: Vahid Mirjalili <2880929+vmirly@users.noreply.github.com> Date: Sun, 13 Oct 2019 13:54:05 -0500 Subject: [PATCH] Updating ch14 notebook (#5) * changed arg: training=None to training=False * Matching section headings --- ch14/ch14-notebook.ipynb | 150 +++++++++++++++++++++++++-------------- 1 file changed, 96 insertions(+), 54 deletions(-) diff --git a/ch14/ch14-notebook.ipynb b/ch14/ch14-notebook.ipynb index bf5dceba..282cccc2 100644 --- a/ch14/ch14-notebook.ipynb +++ b/ch14/ch14-notebook.ipynb @@ -19,6 +19,26 @@ "====" ] }, + { + "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": "markdown", + "metadata": {}, + "source": [ + "### Creating a graph in TensorFlow v1.x\n", + "\n" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -32,13 +52,6 @@ "%matplotlib inline" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Migrating from TF version 1" - ] - }, { "cell_type": "code", "execution_count": 2, @@ -67,6 +80,13 @@ " print('Result: z=', z.eval())" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Migrating a graph to TensorFlow v2" + ] + }, { "cell_type": "code", "execution_count": 3, @@ -90,6 +110,13 @@ "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": 4, @@ -117,6 +144,13 @@ " 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": 5, @@ -146,11 +180,11 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "### Improving computational performance with function decorators" + ] }, { "cell_type": "code", @@ -250,7 +284,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Variables" + "## TensorFlow Variable objects for storing and updating model parameters" ] }, { @@ -412,7 +446,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Variables with tf.function" + "#### Variables with tf.function" ] }, { @@ -468,9 +502,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Computing gradients\n", - "\n", - "### GradientTape" + "## Computing gradients via automatic differentiation and GradientTape\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Computing the gradients of the loss with respect to trainable variables" ] }, { @@ -528,7 +567,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Gradients of non-variables: `tape.watch()`" + "### Computing gradients with respect to non-trainable tensors\n", + "\n", + " Monitoring the non-trainable tensors via `tape.watch()`" ] }, { @@ -578,7 +619,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Multiple gradients in one forward call `persistent=True`" + "### Keeping resources for multiple gradient computations \n", + "\n", + "via `persistent=True`" ] }, { @@ -611,7 +654,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Updating variables: `optimizer.apply_gradients()`" + "#### Updating variables: `optimizer.apply_gradients()`" ] }, { @@ -641,7 +684,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Keras API" + "## Simplifying implementations of common architectures via the Keras API\n", + "\n" ] }, { @@ -707,7 +751,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Configuring layers\n", + "#### 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", @@ -764,7 +808,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Compiling a model\n", + "#### 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", @@ -789,7 +833,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## XOR-example" + "## Solving an XOR classification problem" ] }, { @@ -1036,11 +1080,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Building complex models \n", - "\n", - "### Using Keras functional API\n", - "\n", - " * For building mroe complex models, with multiple inputs, multiple outputs,, fusion, etc." + "## Making model building more flexible with Keras' functional API\n", + "\n" ] }, { @@ -1154,7 +1195,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Subclassing `tf.keras.Model`\n", + "## Implementing models based on Keras' Model class\n", + "\n", + "#### Sub-classing `tf.keras.Model`\n", "\n", " * define `__init__()`\n", " * define `call()`" @@ -1274,8 +1317,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Customizing Keras Layers\n", + "## 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", @@ -1284,7 +1329,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -1315,7 +1360,7 @@ " initializer='zeros',\n", " trainable=True)\n", "\n", - " def call(self, inputs, training=None):\n", + " def call(self, inputs, training=False):\n", " if training:\n", " batch = tf.shape(inputs)[0]\n", " dim = tf.shape(inputs)[1]\n", @@ -1354,34 +1399,24 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 9, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: Logging before flag parsing goes to stderr.\n", - "W0711 10:30:12.170183 140034806978304 deprecation.py:323] From /home/vahid/anaconda3/envs/tf2.0-beta/lib/python3.7/site-packages/tensorflow/python/ops/math_grad.py:1250: add_dispatch_support..wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "Use tf.where in 2.0, which has the same broadcast rule as np.where\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "Model: \"sequential\"\n", + "Model: \"sequential_2\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", "noisy_linear_1 (NoisyLinear) multiple 12 \n", "_________________________________________________________________\n", - "dense (Dense) multiple 20 \n", + "dense_5 (Dense) multiple 20 \n", "_________________________________________________________________\n", - "dense_1 (Dense) multiple 20 \n", + "dense_6 (Dense) multiple 20 \n", "_________________________________________________________________\n", - "dense_2 (Dense) multiple 5 \n", + "dense_7 (Dense) multiple 5 \n", "=================================================================\n", "Total params: 57\n", "Trainable params: 57\n", @@ -1391,7 +1426,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1457,9 +1492,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Estimators\n", + "## TensorFlow Estimators\n", "\n", - "### Pre-made estimators\n", + "##### Steps for using pre-made estimators\n", "\n", " * **Step 1:** Define the input function for importing the data \n", " * **Step 2:** Define the feature columns to bridge between the estimator and the data \n", @@ -1471,7 +1506,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Feature Columns\n", + "### Working with feature columns\n", "\n", "\n", " * See definition: https://developers.google.com/machine-learning/glossary/#feature_columns\n", @@ -2153,6 +2188,13 @@ "print(categorical_indicator_features)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Machine learning with pre-made Estimators" + ] + }, { "cell_type": "code", "execution_count": 9, @@ -3779,7 +3821,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Estimator -- MNIST dataset" + "### Using Estimators for MNIST hand-written digit classification" ] }, { @@ -9480,7 +9522,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Converting a Keras model to an estimator" + "### Creating a custom Estimator from an existing Keras model" ] }, { @@ -9985,7 +10027,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.7.4" } }, "nbformat": 4,