How to create intelligent neural networks using Java?

Learn how to create neural networks using Java with a book "Neural network programming with Java"
03 August 2017   1087
Java

Popular general-purpose programming language and computing platform

Intelligent neural network is a mathematical model, as well as its software or hardware implementation, built on the principle of organizing and functioning of biological neural networks - nerve cell networks of a living organism. This concept arose when studying the processes occurring in the brain, and when trying to simulate these processes.

Neural networks creating and studying is very popular nowadays. All types of researches, from students to giant corporation like Facebook are interested in neural networks. 

But what should a Java programmer do, if he or she would like to create own neural network?

neural network programming with java
Neural network programming with Java

Book "Neural network programming with Java" can become a good guide in this situation. Written by a Fabio Soares and Alan Souze, it will help you to learn how to create intelligent neural networks entirely in Java with nearly 250 pages on in-depth tutorials.

What's inside and what are the features of this book?

  • Get to grips with the basics of neural networks and what they are used for
  • Develop neural networks using hands-on examples
  • Explore and code the most widely-used learning algorithms to make your neural network learn from most types of data
  • Discover the power of neural network’s unsupervised learning process to extract the intrinsic knowledge hidden behind the data
  • Select and split data sets into training, test, and validation, and explore validation strategies
  • Discover how to improve and optimize your neural network

This book is free and can be downloaded at PacktPub.

Canonical to Represent Minimal Ubuntu

New version of Ubuntu is created for servers, isolated containers based on Docker and cloud systems
12 July 2018   105

Ubuntu team presented a simplified version of the base image - Minimal Ubuntu. It is designed for servers, isolated containers based on Docker and cloud systems. The release features high performance, minimal load time and automation of applications in the cloud.

The small footprint of Minimal Ubuntu, when deployed with fast VM provisioning from GCE, helps deliver drastically improved boot times, making them a great choice for developers looking to build their applications on Google Cloud Platform.
 

Paul Nash

Group Product Manager, Google Cloud

The authors of the project emphasize the size of the distribution kit, which "weighs" 157 MB, and also supports the main cloud systems like Amazon EC2, Google Compute Engine (GCE), LXD and KVM / OpenStack, each of which has its own optimized version of the package. In addition, the OS-based image for operating with containers based on the Docker platform, compatible with the Kubernetes.

Minimal Ubuntu is designed for automated execution, so it includes only a minimal set of tools. The distribution can be upgraded to a set of Ubuntu Server packages using the special utility "unminimize", which returns components that are convenient for interactive management.

According to Canonical representatives, the deletion of the manual control functions resulted in the acceleration of the load time by 40% and the reduction of the occupied disk space by 50%. At the same time, this release remained completely compatible with all the packages from standard Ubuntu repositories. Required packages can be installed using the standard package manager apt or using snapd, which are included in the distribution by default.

Two assemblies are available for download, based on Ubuntu 16.04 LTS and 18.04 LTS. You can download them on the official website.