Packt Publishing, 2016. — 282 p. — ISBN13: 978-1786466587. This book of projects highlights how TensorFlow can be used in different scenarios - this includes projects for training models, machine learning, deep learning, and working with various neural networks. Each project provides exciting and insightful exercises that will teach you how to use TensorFlow and show you how...
Apress, 2020. — 563 p. — ISBN-13 (electronic): 978-1-4842-5349-6. Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts.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...
Packt Publishing, 2017. — 536 p. — ISBN: 978-1788293594, 1788293592. Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x Key Features Skill up and implement tricky neural networks using Google's TensorFlow 1.x An easy-to-follow guide that lets you explore reinforcement learning, GANs, autoencoders, multilayer perceptrons and...
O’Reilly Media, 2017. — 242 p. — ISBN: 978-1-491-97851-1. 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,...
Packt Publishing, 2018. — 164 p. Learn how to solve real life problems using different methods like logic regression, random forests and SVM’s with TensorFlow. Predictive analytics discovers hidden patterns from structured and unstructured data for automated decision making in business intelligence. Predictive decisions are becoming a huge trend worldwide, catering to wide...
Apress, 2018. — 176 p. — ISBN-13 (electronic): 978-1-4842-3516-4. Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning...
Packt Publishing, 2017. — 370 p. ensorFlow 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 will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis,...
Packt Publishing, 2019. — 610 p. — ISBN: 978-1-78883-064-5. A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more. Computer vision solutions are becoming increasingly common, making their way in fields such as health, automobile, social media, and robotics. This book will help you explore...
2nd Edition. — Apress, 2019. — 240 p. — ISBN-13 (electronic): 978-1-4842-5407-3. Explore the new Java programming language features and APIs introduced in Java 10 through Java 13. Java 13 Revealed is for experienced Java programmers looking to migrate to Java 13. Author Kishori Sharan begins by covering how to use local variable type inference to improve readability of your...
O’Reilly, 2020. — 479 p. — ISBN: 978-1-492-05204-3. Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size — small enough to work on the digital signal processor in an Android phone. With this practical book, you’ll learn about TensorFlow Lite for Microcontrollers, a miniscule...
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