Learning TensorFlow
A Guide to Building Deep Learning Systems
Preview
| Amazon | $26.99 |
| BetterWorldBooks | $41.19 |
| BiggerBooks | $36.57 |
| eBay | $39.58 |
| eBooks.com | $67.99 |
| eCampus | $37.32 |
| update prices | |
| Price | $26.99 - $67.99
|
| Rating |   |
| Authors | Itay Lieder, Yehezkel Resheff, Tom Hope |
| Publisher | O'Reilly Media |
| Published | 2017 |
| Pages | 242 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1491978511 |
| ISBN-13 | 9781491978511 |
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.
- Itay Lieder
- Yehezkel Resheff
- Tom Hope
4 5 49
Similar Books
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Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts.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 basic ...
Price: $30.46 | Publisher: Apress | Release: 2020
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 of detecti...
Price: $27.99 | Publisher: O'Reilly Media | Release: 2018
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
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
R Deep Learning Essentials, 2nd Edition
by Mark Hodnett, Joshua F. Wiley
Deep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem.This bo...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
TensorFlow Machine Learning Cookbook, 2nd Edition
by Nick McClure
TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before.With the help of this book, you will work with recipes for training models, model...
Price: $27.99 | Publisher: Packt Publishing | Release: 2018
TensorFlow Machine Learning Projects
by Ankit Jain, Armando Fandango, Amita Kapoor
TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits - simplicity, efficiency, and flexibility - of using TensorFlow in various real-world projects. With the help of this book, you'll not only learn how to build advanced projects using different data...
Price: $34.99 | Publisher: Packt Publishing | Release: 2018
Hands-On Deep Learning for Images with TensorFlow
by Will Ballard
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 capabi...
Price: $24.99 | Publisher: Packt Publishing | Release: 2018