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Neural Networks for Electronics Hobbyists

Neural Networks for Electronics Hobbyists

Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an electronics project, providing a hands-on experience in training a network.There are no prerequisites here and you won't see a single line of computer code in this book. Instead, it...
Deep Learning with TensorFlow, 2nd Edition

Deep Learning with TensorFlow, 2nd Edition

Deep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks.This book is conce...
TensorFlow For Dummies

TensorFlow For Dummies

Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you'll find out how to write applications with TensorFlow, while also g...
Practical Artificial Intelligence

Practical Artificial Intelligence

Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fund...
Introduction to Deep Learning Business Applications for Developers

Introduction to Deep Learning Business Applications for Developers

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehic...
Deep Learning with Applications Using Python

Deep Learning with Applications Using Python

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 applications. Deep Learning with Appli...
Deep Belief Nets in C++ and CUDA C: Volume 1

Deep Belief Nets in C++ and CUDA C: Volume 1

Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers...
Introduction to Machine Learning with R

Introduction to Machine Learning with R

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics ...
Natural Language Processing with PyTorch

Natural Language Processing with PyTorch

Natural Language Processing (NLP) offers unbounded opportunities for solving interesting problems in artificial intelligence, making it the latest frontier for developing intelligent, deep learning-based applications. If you're a developer or researcher ready to dive deeper into this rapidly growing area of artificial intelligence, this p...
Machine Learning with Python Cookbook

Machine Learning with Python Cookbook

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems such as loading data, handling text or numerical data, model...
Machine Learning with TensorFlow

Machine Learning with TensorFlow

TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plu...
Mastering Machine Learning Algorithms

Mastering Machine Learning Algorithms

Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will...
Raspberry Pi 3 Cookbook for Python Programmers, 3rd Edition

Raspberry Pi 3 Cookbook for Python Programmers, 3rd Edition

Raspberry Pi 3 Cookbook for Python Programmers, 3rd Edition begins by guiding you through setting up Raspberry Pi 3, performing tasks using Python 3.6, and introducing the first steps to interface with electronics. As you work through each chapter, you will build your skills and apply them as you progress. You will learn how to build text...
Learn ARCore - Fundamentals of Google ARCore

Learn ARCore - Fundamentals of Google ARCore

Are you a mobile developer or web developer who wants to create immersive and cool Augmented Reality apps with the latest Google ARCore platform? If so, this book will help you jump right into developing with ARCore and will help you create a step by step AR app easily.This book will teach you how to implement the core features of ARCore ...
Hands-On Machine Learning with C#

Hands-On Machine Learning with C#

The necessity for machine learning is everywhere, and most production enterprise applications are written in C# using tools such as Visual Studio, SQL Server, and Microsoft Azur2e. Hands-On Machine Learning with C# uniquely blends together an understanding of various machine learning concepts, techniques of machine learning, and various a...
Hands-on Machine Learning with JavaScript

Hands-on Machine Learning with JavaScript

In over 20 years of existence, JavaScript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, JavaScript makes your browsers smarter than ever with the abi...
Metal Programming Guide

Metal Programming Guide

Metal enables Apple developers to maximize performance in demanding tasks like 3D graphics, games, scientific programming, visualization, and GPU-accelerated machine learning. Metal Programming Guide is the authoritative, practical guide to Metal for all iOS programmers who are interested in graphics programming but don't know where to st...
Mastering Machine Learning with Python in Six Steps

Mastering Machine Learning with Python in Six Steps

Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. This book's approach is based on the "Six degrees of separation" theory, which states that everyone and everything is a maximum of six steps away. Mastering Machine Learning with Py...
Deep Learning

Deep Learning

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning - especially deep neural networks - make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but als...
Fundamentals of Deep Learning

Fundamentals of Deep Learning

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.Companies such as...

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