Deep Learning with Swift for TensorFlow 
by Rahul Bhalley
Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundam...
Price: $36.13 | Publisher: Apress | Release: 2021
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
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Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts.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
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: $26.27 | Publisher: Apress | Release: 2020
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: $39.99 | Publisher: Manning | Release: 2020
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
Practical AI on the Google Cloud Platform
by Micheal Lanham
Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video.Author Micheal Lanham demonstrates m...
Price: $44.26 | Publisher: O'Reilly Media | Release: 2020
Python Machine Learning By Example, 3rd Edition
by Yuxi (Hayden) Liu
Python Machine Learning By Example, 3rd Edition serves as a comprehensive gateway into the world of machine learning (ML).With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting wit...
Price: $31.47 | Publisher: Packt Publishing | Release: 2020
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
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