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Index
Title Page Copyright and Credits
Hands-On Deep Learning for Images with TensorFlow
Packt Upsell
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Contributors
About the author Packt is searching for authors like you
Preface
Who this book is for What this book covers To get the most out of this book
Download the example code files Conventions used
Get in touch
Reviews
Machine Learning Toolkit
Installing Docker The machine learning Docker file Sharing data Machine learning REST service Summary
Image Data
MNIST digits Tensors – multidimensional arrays Turning images into tensors Turning categories into tensors Summary
Classical Neural Network
Comparison between classical dense neural networks Activation and nonlinearity Softmax Training and testing data Dropout and Flatten Solvers Hyperparameters Grid searches Summary
A Convolutional Neural Network
Convolutions Pooling Building a convolutional neural network Deep neural network Summary
An Image Classification Server
REST API definition Trained models in Docker containers Making predictions Summary
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