Learning TensorFlow

A Guide to Building Deep Learning Systems



Bookstore > Books > Learning TensorFlow

Price$12.69 - $37.36
Rating
AuthorsItay Lieder, Yehezkel Resheff, Tom Hope
PublisherO'Reilly Media
Published2017
Pages242
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101491978511
ISBN-139781491978511
EBook Hardcover Paperback

Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.

Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad technical audience - from data scientists and engineers to students and researchers. You'll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Once you finish this book, you'll know how to build and deploy production-ready deep learning systems in TensorFlow.

Get up and running with TensorFlow, rapidly and painlessly; Learn how to use TensorFlow to build deep learning models from the ground up; Train popular deep learning models for computer vision and NLP; Use extensive abstraction libraries to make development easier and faster; Learn how to scale TensorFlow, and use clusters to distribute model training; Deploy TensorFlow in a production setting.




4 5 80

Similar Books


Learning TensorFlow.js

Learning TensorFlow.js

by Gant Laborde

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde (Google Developer Expert in machine learningand the web) provides a hands-on end-to-end approac...

Price:  $38.95  |  Publisher:  O'Reilly Media  |  Release:  2021

Convolutional Neural Networks with Swift for Tensorflow

Convolutional Neural Networks with Swift for Tensorflow

by Brett Koonce

Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networ...

Price:  $29.14  |  Publisher:  Apress  |  Release:  2021

Machine Learning with TensorFlow

Machine Learning with TensorFlow

by Nishant Shukla, Kenneth Fricklas

TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concept...

Price:  $5.60  |  Publisher:  Manning  |  Release:  2018

Deep Learning Pipeline

Deep Learning Pipeline

by Hisham El-Amir, Mahmoud Hamdy

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome b...

Price:  $30.93  |  Publisher:  Apress  |  Release:  2020

Applied Deep Learning with TensorFlow 2, 2nd Edition

Applied Deep Learning with TensorFlow 2, 2nd Edition

by Umberto Michelucci

Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.This book is designed so that you can focus on the parts you are int...

Price:  $48.23  |  Publisher:  Apress  |  Release:  2022

TensorFlow for Deep Learning

TensorFlow for Deep Learning

by Reza Zadeh, Bharath Ramsundar

Learn how to solve challenging machine learning problems with Tensorflow, Google's revolutionary new system for deep learning. If you have some background with basic linear algebra and calculus, this practical book shows you how to build - and when to use - deep learning architectures. You'll learn how to design systems capable ...

Price:  $23.99  |  Publisher:  O'Reilly Media  |  Release:  2018

Hands-On Transfer Learning with Python

Hands-On Transfer Learning with Python

by Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh

Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems.The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2018

Python Reinforcement Learning Projects

Python Reinforcement Learning Projects

by Sean Saito, Yang Wenzhuo, Rajalingappaa Shanmugamani

Reinforcement learning is one of the most exciting and rapidly growing fields in machine learning. This is due to the many novel algorithms developed and incredible results published in recent years.In this book, you will learn about the core concepts of RL including Q-learning, policy gradients, Monte Carlo processes, and several deep re...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2018