Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Buy

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks
  • Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha

Book Description

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.

What you will learn

  • Use tf.Keras for fast prototyping, building, and training deep learning neural network models
  • Easily convert your TensorFlow 1.12 applications to TensorFlow 2.0-compatible files
  • Use TensorFlow to tackle traditional supervised and unsupervised machine learning applications
  • Understand image recognition techniques using TensorFlow
  • Perform neural style transfer for image hybridization using a neural network
  • Code a recurrent neural network in TensorFlow to perform text-style generation

Who this book is for

Data scientists, machine learning developers, and deep learning enthusiasts looking to quickly get started with TensorFlow 2 will find this book useful. Some Python programming experience with version 3.6 or later, along with a familiarity with Jupyter notebooks will be an added advantage. Exposure to machine learning and neural network techniques would also be helpful.

Table of Contents

  1. Introducing TensorFlow 2
  2. Keras, a High-Level API for TensorFlow 2
  3. ANN Technologies Using TensorFlow 2
  4. Supervised Machine Learning Using TensorFlow 2
  5. Unsupervised Learning Using TensorFlow 2
  6. Recognizing Images with TensorFlow 2
  7. Neural Style Transfer Using TensorFlow 2
  8. Recurrent Neural Networks Using TensorFlow 2
  9. TensorFlow Estimators and TensorFlow Hub
  10. Converting from tf1.12 to tf2
(HTML tags aren't allowed.)

PostgreSQL Server Programming - Second Edition
PostgreSQL Server Programming - Second Edition

Extend PostgreSQL using PostgreSQL server programming to create, test, debug, and optimize a range of user-defined functions in your favorite programming language

About This Book

  • Acquaint yourself with all the options to extend PostgreSQL using the programming language of your choice such as C++ and...
Pro TypeScript: Application-Scale JavaScript Development
Pro TypeScript: Application-Scale JavaScript Development

Explore the features of this innovative open source language in depth, from working with the type system through object-orientation to understanding the runtime and the TypeScript compiler. This fully revised and updated second edition of Steve Fenton’s popular book covers everything you need to discover this fascinating...

Mastering PostgreSQL 11: Expert techniques to build scalable, reliable, and fault-tolerant database applications, 2nd Edition
Mastering PostgreSQL 11: Expert techniques to build scalable, reliable, and fault-tolerant database applications, 2nd Edition

Master the capabilities of PostgreSQL 11 to efficiently manage and maintain your database

Key Features

  • Master advanced concepts of PostgreSQL 11 with real-world datasets and examples
  • Explore query parallelism, data replication, and database performance while working with...

The Blockchain Developer: A Practical Guide for Designing, Implementing, Publishing, Testing, and Securing Distributed Blockchain-based Projects
The Blockchain Developer: A Practical Guide for Designing, Implementing, Publishing, Testing, and Securing Distributed Blockchain-based Projects

Become a Blockchain developer and design, build, publish, test, maintain and secure scalable decentralized Blockchain projects using Bitcoin, Ethereum, NEO, EOS and Hyperledger.  

This book helps you understand Blockchain beyond development and crypto to better harness its power and capability. You will learn...

Ultra Low Power ECG Processing System for IoT Devices (Analog Circuits and Signal Processing)
Ultra Low Power ECG Processing System for IoT Devices (Analog Circuits and Signal Processing)

?This book describes an ECG processing architecture that guides biomedical SoC developers, from theory to implementation and testing. The authors provide complete coverage of the digital circuit implementation of an ultra-low power biomedical SoC,  comprised of a detailed description of an ECG processor implemented and...

PostgreSQL Developer s Guide
PostgreSQL Developer s Guide

Design, develop, and implement streamlined databases with PostgreSQL

About This Book

  • Design efficient, real-world database solutions and extend your knowledge of database concepts
  • Learn how to program using native PostgreSQL procedural languages to write custom functions
  • ...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy