Recurrent Neural Networks with Python Quick Start Guide
更新时间：2021-06-10 18:50:53
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Title Page
About Packt
Why subscribe?
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Contributors
About the author
About the reviewer
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Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Get in touch
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Introducing Recurrent Neural Networks
What is an RNN?
Comparing recurrent neural networks with similar models
Hidden Markov model
Recurrent neural network
Understanding how recurrent neural networks work
Basic neural network overview
Obtaining data
Encoding the data
Building the architecture
Training the model
Evaluating the model
Key problems with the standard recurrent neural network model
Summary
External links
Building Your First RNN with TensorFlow
What are you going to build?
Introduction to TensorFlow
Graph-based execution
Eager execution
Coding the recurrent neural network
Generating data
Building the TensorFlow graph
Training the RNN
Evaluating the predictions
Summary
External links
Generating Your Own Book Chapter
Why use the GRU network?
Generating your book chapter
Obtaining the book text
Encoding the text
Building the TensorFlow graph
Training the network
Generating your new text
Summary
External links
Creating a Spanish-to-English Translator
Understanding the translation model
What is an LSTM network?
Understanding the sequence-to-sequence network with attention
Building the Spanish-to-English translator
Preparing the data
Constructing the TensorFlow graph
Training the model
Predicting the translation
Evaluating the final results
Summary
External links
Building Your Personal Assistant
What are we building?
Preparing the data
Creating the chatbot network
Training the chatbot
Building a conversation
Summary
External links
Improving Your RNN Performance
Improving your RNN model
Improving performance with data
Selecting data
Processing data
Transforming data
Improving performance with tuning
Grid search
Random search
Hand-tuning
Bayesian optimization
Tree-structured Parzen Estimators (TPE)
Optimizing the TensorFlow library
Data processing
Improving data loading
Improving data transformation
Performing the training
Optimizing gradients
Summary
External links
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更新时间：2021-06-10 18:50:53