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TensorFlow 2.0 Quick Start Guide

TensorFlow 2.0 Quick Start Guide

By : Holdroyd
2.3 (3)
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TensorFlow 2.0 Quick Start Guide

TensorFlow 2.0 Quick Start Guide

2.3 (3)
By: Holdroyd

Overview of this book

TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains. By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques.
Table of Contents (15 chapters)
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1
Section 1: Introduction to TensorFlow 2.00 Alpha
5
Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha
7
Unsupervised Learning Using TensorFlow 2
8
Section 3: Neural Network Applications of TensorFlow 2.00 Alpha
13
Converting from tf1.12 to tf2

The default Keras configuration file

The default configuration file for Linux users is as follows:

$HOME/.keras/keras.json

For Windows users, replace $HOME with %USERPROFILE%.

It is created the first time you use Keras, and may be edited to change the defaults. Here's what that .json file contains:

{ "image_data_format": "channels_last",
"epsilon": 1e-07,
"floatx": "float32",
"backend": "tensorflow" }

The defaults are as follows:

  • image_data_format: This is a string, either "channels_last" or channels_first, for the image format. Keras running on top of TensorFlow uses the default.
  • epsilon: This is a float, being a numeric fuzzing constant used to avoid division by zero in some operations.
  • floatx: This is a string and specifies the default float precision, being one of "float16", &quot...

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