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Real-Time IoT Imaging with Deep Neural Networks

Real-Time IoT Imaging with Deep Neural Networks

by Nicolas Modrzyk

This book shows you how to build real-time image processing systems all the way through to house automation. Find out how you can develop a system based on small 32-bit ARM processors that gives you complete control through voice commands.Real-time image processing systems are utilized in a wide variety of applications, such as in traffic monitoring systems, medical image processing, and biometric security ...

Price:  $16.19  |  Publisher:  Apress  |  Release:  2020

Introducing Machine Learning

Introducing Machine Learning

by Dino Esposito, Francesco Esposito

Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft's powerful ML.NET library, including capabilities for data processing, training, and eval...

Price:  $27.32  |  Publisher:  Microsoft Press  |  Release:  2020

Next-Generation Machine Learning with Spark

Next-Generation Machine Learning with Spark

by Butch Quinto

Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.Next-Generation Machine Learning with Spark provides a gentle introduction to Spark and Spark...

Price:  $28.98  |  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

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

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

Artificial Intelligence By Example, 2nd Edition

Artificial Intelligence By Example, 2nd Edition

by Denis Rothman

Artificial intelligence (AI) has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples.This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from comp...

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

Artificial Neural Networks with Java

Artificial Neural Networks with Java

by Igor Livshin

Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare t...

Price:  $23.11  |  Publisher:  Apress  |  Release:  2019

Learn Keras for Deep Neural Networks

Learn Keras for Deep Neural Networks

by Jojo John Moolayil

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in Keras.The overall book comprises three sections with two chapters in each section. The first section prepares...

Price:  $25.49  |  Publisher:  Apress  |  Release:  2019

PyTorch Recipes

PyTorch Recipes

by Pradeepta Mishra

Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look at probability distributions using PyTorch and get acquainted with its concepts. Further you will dive into tran...

Price:  $26.11  |  Publisher:  Apress  |  Release:  2019

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