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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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Why Subscribe?
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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