This repository contains code samples for my book on "Neural Networks and Deep Learning".The code is written for Python 2.6 or 2.7. There is a version for Python 3.8-3.10 here. I will not be updating the current repository for Python 3 compatibility....
doi:10.1142/S0129065797000355Vasant DharDepartment of Information SystemsInternational Journal of Neural Systems
Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you many of the core concepts behind neural networks and deep learning. For more details about the approach taken in...
Graph Neural Networks have seen a rise in popularity. This is no surprise since various forms of information can be understood in the context of graphs from social networks to molecules. This notebook intends to illuminate the inner workings of Graph Convolutional Networks and give an intuition in...
neural networks, fuzzy systems, genetic algorithms, neurofuzzy systems and control, nonlinear dynamics and control, and of course adaptive, complex and self-organizing systems. This wide range of topics, approaches, perspectives and applications is reflected in a large readership of researchers and pra...
Translation using neural networks The company has focused on this architecture of artificial intelligence (AI), because it is important for them to make the world closer and for this it is necessary to provide a translation of high quality. Neural networks allow the algorithm to process all infor...
This book is focused on neural networks in an R environment. We have used R version 3.4.1 to build various applications and the open source and enterprise-ready professional software for R, RStudio version 1.0.153. We focus on how to utilize various R libraries in the best possible way ...
Deep neural networks with different wiring patterns and operations are powerful in processing data and learning new representations. The way networks are wired will have a big influence on their performances as well as their properties. Currently, the well-known wiring patterns include full...
soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based sys...
You’ll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks. Learn Quantum Computing with Python and Q#: A Hands-on approach by Sarah Kaiser,Cassandra GranadeOctober 2024 comes with audio! Learn Quantum Computing with Python ...