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
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
by Andrew W. Trask
Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online ...
Price: $39.99 | Publisher: Manning | Release: 2019
Natural Language Processing in Action 
by Hobson Lane, Cole Howard, Hannes Hapke
Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and aut...
Price: $44.95 | Publisher: Manning | Release: 2019
Classic Computer Science Problems in Python
by David Kopec
Classic Computer Science Problems in Python deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems!Computer science pro...
Price: $31.99 | Publisher: Manning | Release: 2019
Hands-On Neural Network Programming with C#
by Matt R. Cole
Neural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence.The goal of this book is to provide C# programmers with practical guidance in solving complex computational challenges using neural networks and C# libraries such as CNTK, and TensorFlowSharp. This book will take you on a step-by-step practical journey, covering ...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Neural Networks for Electronics Hobbyists
by Richard McKeon
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 takes a hardware approach using very simple electronic components. Yo...
Price: $16.29 | Publisher: Apress | Release: 2018
Deep Learning for Natural Language Processing
by Palash Goyal, Sumit Pandey, Karan Jain
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.You'll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the ba...
Price: $30.01 | Publisher: Apress | Release: 2018
by Umberto Michelucci
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You'll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and ch...
Price: $22.50 | Publisher: Apress | Release: 2018
by Ahmed Menshawy
Deep learning is a popular subset of machine learning, and it allows you to build complex models that are faster and give more accurate predictions. This book is your companion to take your first steps into the world of deep learning, with hands-on examples to boost your understanding of the topic.This book starts with a quick overview of the essential concepts of data science and machine learning which are...
Price: $31.99 | Publisher: Packt Publishing | Release: 2018