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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 approach to TensorFlow.js fundamentals for a broad technical audience that in...

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

Generative AI with Python and TensorFlow 2

Generative AI with Python and TensorFlow 2

by Joseph Babcock, Raghav Bali

In recent years, generative artificial intelligence has been instrumental in the creation of lifelike data (images, speech, video, music, and text) from scratch. In this book you will unpack how these powerful models are created from relatively simple building blocks, and how you might adapt these models to your own use cases.You will begin by setting up clean containerized environments for Python and getti...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2021

AI and Machine Learning for On-Device Development

AI and Machine Learning for On-Device Development

by Laurence Moroney

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android.Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques...

Price:  $52.74  |  Publisher:  O'Reilly Media  |  Release:  2021

Practical Machine Learning for Computer Vision

Practical Machine Learning for Computer Vision

by Valliappa Lakshmanan, Martin Görner, Ryan Gillard

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data p...

Price:  $59.54  |  Publisher:  O'Reilly Media  |  Release:  2021

Deep Reinforcement Learning in Unity

Deep Reinforcement Learning in Unity

by Abhilash Majumder

Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshe...

Price:  $49.42  |  Publisher:  Apress  |  Release:  2021

Computer Vision Using Deep Learning

Computer Vision Using Deep Learning

by Vaibhav Verdhan

Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the...

Price:  $33.17  |  Publisher:  Apress  |  Release:  2021

Quantum Machine Learning: An Applied Approach

Quantum Machine Learning: An Applied Approach

by Santanu Ganguly

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power o...

Price:  $48.75  |  Publisher:  Apress  |  Release:  2021

Deep Learning with Python, 2nd Edition

Deep Learning with Python, 2nd Edition

by Francois Chollet

Deep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. This extensively revised second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. You'll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neura...

Price:  $34.98  |  Publisher:  Manning  |  Release:  2021

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 ...

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

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