TensorFlow Machine Learning Cookbook by McClure, Nick -- Read -- Imperial Library of Trantor

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TensorFlow Machine Learning Cookbook

Table of Contents TensorFlow Machine Learning Cookbook Credits About the Author About the Reviewer www.PacktPub.com

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Customer Feedback Preface

What this book covers What you need for this book Who this book is for Sections

Getting ready How to do it… How it works… There's more… See also

Conventions Reader feedback Customer support

Downloading the example code Piracy Questions

1. Getting Started with TensorFlow

Introduction How TensorFlow Works

Getting ready How to do it… How it works… See also

Declaring Tensors

Getting ready How to do it… How it works… There's more…

Using Placeholders and Variables

Getting ready How to do it… How it works… There's more…

Working with Matrices

Getting ready How to do it… How it works…

Declaring Operations

Getting ready How to do it… How it works… There's more…

Implementing Activation Functions

Getting ready How to do it… How it works… There's more…

Working with Data Sources

Getting ready How to do it… How it works… See also

Additional Resources

Getting ready How to do it… See also

2. The TensorFlow Way

Introduction Operations in a Computational Graph

Getting ready How to do it… How it works…

Layering Nested Operations

Getting ready How to do it… How it works… There's more…

Working with Multiple Layers

Getting ready How to do it… How it works…

Implementing Loss Functions

Getting ready How to do it… How it works… There's more…

Implementing Back Propagation

Getting ready How to do it… How it works… There's more… See also

Working with Batch and Stochastic Training

Getting ready How to do it… How it works… There's more…

Combining Everything Together

Getting ready How to do it… How it works… There's more… See also

Evaluating Models

Getting ready How to do it… How it works…

3. Linear Regression

Introduction Using the Matrix Inverse Method

Getting ready How to do it… How it works…

Implementing a Decomposition Method

Getting ready How to do it… How it works…

Learning The TensorFlow Way of Linear Regression

Getting ready How to do it… How it works…

Understanding Loss Functions in Linear Regression

Getting ready How to do it… How it works… There's more…

Implementing Deming regression

Getting ready How to do it… How it works…

Implementing Lasso and Ridge Regression

Getting ready How to do it… How it works… There's' more…

Implementing Elastic Net Regression

Getting ready How to do it… How it works…

Implementing Logistic Regression

Getting ready How to do it… How it works…

4. Support Vector Machines

Introduction Working with a Linear SVM

Getting ready How to do it… How it works…

Reduction to Linear Regression

Getting ready How to do it… How it works…

Working with Kernels in TensorFlow

Getting ready How to do it… How it works… There's more…

Implementing a Non-Linear SVM

Getting ready How to do it… How it works…

Implementing a Multi-Class SVM

Getting ready How to do it… How it works…

5. Nearest Neighbor Methods

Introduction Working with Nearest Neighbors

Getting ready How to do it… How it works… There's more…

Working with Text-Based Distances

Getting ready How to do it… How it works… There's more…

Computing with Mixed Distance Functions

Getting ready How to do it… How it works… There's more…

Using an Address Matching Example

Getting ready How to do it… How it works…

Using Nearest Neighbors for Image Recognition

Getting ready How to do it… How it works… There's more…

6. Neural Networks

Introduction Implementing Operational Gates

Getting ready How to do it… How it works…

Working with Gates and Activation Functions

Getting ready How to do it… How it works… There's more…

Implementing a One-Layer Neural Network

Getting ready How to do it… How it works… There's more…

Implementing Different Layers

Getting ready How to do it… How it works…

Using a Multilayer Neural Network

Getting ready How to do it… How it works…

Improving the Predictions of Linear Models

Getting ready How to do it How it works…

Learning to Play Tic Tac Toe

Getting ready How to do it… How it works…

7. Natural Language Processing

Introduction Working with bag of words

Getting ready How to do it… How it works… There's more…

Implementing TF-IDF

Getting ready How to do it… How it works… There's more…

Working with Skip-gram Embeddings

Getting ready How to do it… How it works… There's more…

Working with CBOW Embeddings

Getting ready How to do it… How it works… There's more…

Making Predictions with Word2vec

Getting ready How to do it… How it works… There's more…

Using Doc2vec for Sentiment Analysis

Getting ready How to do it… How it works…

8. Convolutional Neural Networks

Introduction Implementing a Simpler CNN

Getting ready How to do it… How it works… There's more… See also

Implementing an Advanced CNN

Getting ready How to do it… How it works… See also

Retraining Existing CNNs models

Getting ready How to do it… How it works… See also

Applying Stylenet/Neural-Style

Getting ready How to do it… How it works… See also

Implementing DeepDream

Getting ready How to do it… There's more… See also

9. Recurrent Neural Networks

Introduction Implementing RNN for Spam Prediction

Getting ready How to do it… How it works… There's more…

Implementing an LSTM Model

Getting ready How to do it… How it works… There's more…

Stacking multiple LSTM Layers

Getting ready How to do it… How it works…

Creating Sequence-to-Sequence Models

Getting ready How to do it… How it works… There's more…

Training a Siamese Similarity Measure

Getting ready How to do it… There's more…

10. Taking TensorFlow to Production

Introduction Implementing unit tests

Getting ready How it works…

Using Multiple Executors

Getting ready How to do it… How it works… There's more…

Parallelizing TensorFlow

Getting ready How to do it… How it works…

Taking TensorFlow to Production

Getting ready How to do it… How it works…

Productionalizing TensorFlow – An Example

Getting ready How to do it… How it works…

11. More with TensorFlow

Introduction Visualizing graphs in Tensorboard

Getting ready How to do it…

There's more… Working with a Genetic Algorithm

Getting ready How to do it… How it works… There's more…

Clustering Using K-Means

Getting ready How to do it… There's more…

Solving a System of ODEs

Getting ready How to do it… How it works… See also

Index

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