Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning.  

Find out how to create visually stunning and feature-rich applications by empowering Python's built-in Tkinter GUI toolkit

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This book offers a collection of high-quality, peer-reviewed research papers presented at the International Conference on Intelligent Computing, Communication and Devices (ICCD 2017), discussing all dimensions of intelligent sciences – intelligent computing, intelligent communication, and intelligent devices.

Build, scale, and deploy deep neural network models using the star libraries in Python

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A comprehensive guide to get started with Java and gain insights into major concepts such as object-oriented, functional, and reactive programming

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Experience an in-depth exploration of logical volume management and the use of file managers to manipulate files and directories and the critical concept that, in Linux, everything is a file and some fun and interesting uses of the fact that everything is a file.

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

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