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Hands-On Deep Learning for Images with TensorFlow

By : Ballard

1 (2)

Buy this Book

Hands-On Deep Learning for Images with TensorFlow

1 (2)

By: Ballard

Buy this Book

Overview of this book

TensorFlow is Google’s popular offering for machine learning and deep learning, quickly becoming a favorite tool for performing fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations of real-world projects, teaching you how to leverage TensorFlow’s capabilities to perform efficient image processing using the power of deep learning. With the help of this book, you will get to grips with the different paradigms of performing deep learning such as deep neural nets and convolutional neural networks, followed by understanding how they can be implemented using TensorFlow. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow and Keras.

Preface

Who this book is for

What this book covers

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Free Chapter

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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