Artificial Neural Networks with Java
Tools for Building Neural Network Applications
| Price | $13.62 - $38.59
|
| Rating |  |
| Author | Igor Livshin |
| Publisher | Apress |
| Published | 2019 |
| Pages | 566 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1484244206 |
| ISBN-13 | 9781484244203 |
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 the data to be used in neural network development and suggests various techniques of data preparation for many unconventional tasks.
The next big topic discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development with Encog, allowing you to create large-scale neural network applications.
The book also discusses the inability of neural networks to approximate complex non-continuous functions, and it introduces the micro-batch method that solves this issue. The step-by-step approach includes plenty of examples, diagrams, and screen shots to help you grasp the concepts quickly and easily.
Prepare your data for many different tasks; Carry out some unusual neural network tasks; Create neural network to process non-continuous functions; Select and improve the development model.
- Igor Livshin (2 books)
Similar Books
Neural Networks with JavaScript Succinctly
by James McCaffrey
James McCaffrey leads you through the fundamental concepts of neural networks, including their architecture, input-output, tanh and softmax activation, back-propagation, error and accuracy, normalization and encoding, and model interpretation. Although most concepts are relatively simple, there are many of them, and they interact with eac...
Free ebook | Publisher: Syncfusion | Release: 2019
Neural Network Programming with Java 
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 | Free ebook | Publisher: Packt Publishing | Release: 2016
Artificial Neural Networks with Java, 2nd Edition
by Igor Livshin
Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you understand the main principles of neural network ...
Price: $41.12 | Publisher: Apress | Release: 2022
Convolutional Neural Networks with Swift for Tensorflow
by Brett Koonce
Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networ...
Price: $41.57 | Publisher: Apress | Release: 2021
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time!W...
Price: $29.99 | Publisher: Packt Publishing | 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...
Price: $31.93 | Publisher: Apress | Release: 2018
Introducing Blockchain with Java
by Spiro Buzharovski
Create your own crypto currency by implementing blockchain technology using Java. This step-by-step guide will teach you how to create a user interface using Java FX and implement SQLite DB using JDBC Driver for the blockchain.Introducing Blockchain with Java includes numerous exercises and test questions to help you solidify what you hav...
Price: $27.50 | Publisher: Apress | Release: 2022
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 au...
Price: $39.99 | Publisher: Manning | Release: 2020