更新时间：2021-07-02 12:47:30
coverpage
Title Page
Copyright and Credits
Neural Networks with Keras Cookbook
Dedication
About Packt
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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
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Conventions used
Sections
Getting ready
How to do it…
How it works…
There's more…
See also
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Reviews
Building a Feedforward Neural Network
Introduction
Architecture of a simple neural network
Training a neural network
Applications of a neural network
Feed-forward propagation from scratch in Python
How to do it...
Building back-propagation from scratch in Python
There's more...
Building a neural network in Keras
Installing Keras
Building our first model in Keras
Building a Deep Feedforward Neural Network
Training a vanilla neural network
How it works...
Scaling the input dataset
Impact on training when the majority of inputs are greater than zero
Impact of batch size on model accuracy
Building a deep neural network to improve network accuracy
Varying the learning rate to improve network accuracy
Varying the loss optimizer to improve network accuracy
Understanding the scenario of overfitting
Overcoming over-fitting using regularization
How to do it
Overcoming overfitting using dropout
Speeding up the training process using batch normalization
Applications of Deep Feedforward Neural Networks
Predicting credit default
Assigning weights for classes
Predicting house prices
Defining the custom loss function
Categorizing news articles into topics
Classifying common audio
Stock price prediction
Leveraging a functional API
Defining weights for rows
