Hands-On Deep Learning for Images with TensorFlow
Will Ballard更新时间：2021-07-16 18:17:31
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Title Page
Copyright and Credits
Hands-On Deep Learning for Images with TensorFlow
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Preface
Who this book is for
What this book covers
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Download the example code files
Conventions used
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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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更新时间：2021-07-16 18:17:31