Tag: neural networks

A CNN is a combination of two components: a feature extractor module followed by a trainable classifier. The first component includes a stack of convolution, activation, and...

Games these days are closer to reality than ever. Life-like graphics, smart gameplay and realistic machine-human interactions have led to major game studios up...

In an attempt to deepen neural network interpretability, Google has released Google Lucid, a neural network visualization library along with publishing an article “The...

This article is an excerpt taken from a book Neural Network Programming with Java Second Edition written by Fabio M. Soares and Alan M....

OpenAI releases a python/Tensorflow package, Gradient checkpointing! Gradient checkpointing lets you fit 10x larger neural nets into memory at the cost of an additional...

This article is an excerpt from a book by Rodolfo Bonnin titled Machine Learning for Developers. This book is a systematic developer’s guide for...

This article is an excerpt from a book by Kuntal Ganguly titled Learning Generative Adversarial Networks. The book will help you build and analyze...

Convolutional Neural networks (CNNs), are a group from the neural network family that has manifested in areas such as Image recognition, classification, etc. They...

Isn’t it spooky how Facebook can identify faces of your friends before you manually tag them? Have you been startled by Cortana, Siri or...

Give it four days to practice and you would have a chess master ready!  This line stands true for Deepmind’s latest AI program, AlphaZero. AlphaZero...