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Tensorflow 2 Tutorial

FREE EBOOK - Tensorflow 2 Tutorial

by Ren Zhang

TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.This book is a somewhat intermediate-level introduction to Tensorflow 2. We will eventually cover everything tf.keras, but no so fast until we implemented them with raw tffirst....

Publisher:  Self-publishing  |  Release:  2020

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Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts.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 basic Tensorflow obstacles to easily create functional apps and deploy well-...

Price:  $30.46  |  Publisher:  Apress  |  Release:  2020

Learn TensorFlow 2.0

Learn TensorFlow 2.0

by Pramod Singh, Avinash Manure

Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples.The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 ...

Price:  $26.06  |  Publisher:  Apress  |  Release:  2020

Deep Learning with JavaScript

Deep Learning with JavaScript

by Shanqing Cai, Stanley Bileschi, Eric D. Nielsen, Francois Chollet

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating us...

Price:  $49.99  |  Publisher:  Manning  |  Release:  2020

Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Edition

Advanced Deep Learning with TensorFlow 2 and Keras, 2nd Edition

by Rowel Atienza

Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNe...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2020

Mastering Machine Learning Algorithms, 2nd Edition

Mastering Machine Learning Algorithms, 2nd Edition

by Giuseppe Bonaccorso

Mastering Machine Learning Algorithms, 2nd Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains.You will use all the modern...

Price:  $40.49  |  Publisher:  Packt Publishing  |  Release:  2020

TensorFlow Roadmap

FREE EBOOK - TensorFlow Roadmap

by Amirsina Torfi

A deep learning is of great interest these days, the crucial necessity for rapid and optimized implementation of the algorithms and designing architectures is the software environment. TensorFlow is designed to facilitate this goal. The strong advantage of TensorFlow is it flexibility is designing highly modular model which also can be a disadvantage too for beginners since lots of the pieces must be consid...

Publisher:  Self-publishing  |  Release:  2019

Deep Learning with TensorFlow 2 and Keras, 2nd Edition

Deep Learning with TensorFlow 2 and Keras, 2nd Edition

by Antonio Gulli, Amita Kapoor, Sujit Pal

Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.TensorFlow is the machine learning library of choice for professional applications, while Keras offers a simple and powerful Python ...

Price:  $39.36  |  Publisher:  Packt Publishing  |  Release:  2019

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

by Aurelien Geron

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks - Scikit-Learn and TensorFlo...

Price:  $41.99  |  Publisher:  O'Reilly Media  |  Release:  2019



by Pete Warden, Daniel Situnayake

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size - small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.Pete Warden and Daniel Situnayake explain how you can train model...

Price:  $24.99  |  Publisher:  O'Reilly Media  |  Release:  2019

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