Neural Networks for Electronics Hobbyists
A Non-Technical Project-Based Introduction
|Price||$16.29 - $19.99
|Format||Paper book / ebook (PDF)|
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. You'll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project. The project isn't complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network.
By the end of this book, you'll be able to take what you've learned and apply it to your own projects. If you like to tinker around with components and build circuits on a breadboard, Neural Networks for Electronics Hobbyists is the book for you.
Gain a practical introduction to neural networks; Review techniques for training networks with electrical hardware and supervised learning; Understand how parallel processing differs from standard sequential programming.
5 5 4
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. ...
Price: $23.11 | Publisher: Apress | Release: 2019
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...
Price: $30.01 | Publisher: Apress | Release: 2018
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 ...
Price: $25.49 | Publisher: Apress | Release: 2019
by Alan M.F. Souza, Fabio M. Soares
Vast quantities of data are produced every second. In this context, neural networks become a powerful technique to extract useful knowledge from large amounts of raw, seemingly unrelated data. One of the most preferred languages for neural network programming is Java as it is easier to write code using it, and most of the most popular neu...
Price: $44.99 | Publisher: Packt Publishing | Release: 2016
by Rajdeep Dua, Manpreet Singh Ghotra
Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy.The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popul...
Price: $34.99 | Publisher: Packt Publishing | 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 ...
Price: $22.50 | Publisher: Apress | Release: 2018
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...
Price: $16.19 | Publisher: Apress | Release: 2020
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...
Price: $31.99 | Publisher: Packt Publishing | Release: 2018