Neural Networks

Dynamically Expandable Neural Networks — Explained

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

The Most Complete List of Best AI Cheat Sheets

Over the past few months, I have been collecting AI cheat sheets. From time to time I…

Keras shoot-out: TensorFlow vs MXNet

A few months, we took an early look at running Keras with Apache MXNet as its backend. Things were pretty beta at the time, but a lot of progress has since been made. It’s time to reevaluate… and benchmark MXNet against Tensorflow.

Yes you should understand backprop

When we offered CS231n (Deep Learning class) at Stanford, we intentionally designed the programming assignments to include explicit calculations involved in backpropagation on the lowest level. The students had to implement the forward and the backward pass of each…

Neural Network Architectures

Deep neural networks and Deep Learning are powerful and popular algorithms. And a lot of their success lays in the careful design of the neural network architecture.

I wanted to revisit the history of neural network design in the last few years and in…

The Emerging World of Neural Net Based MT

There has been much in the news lately about the next wave of MT (machine translation i.e. computers rather than humans do the translation) technology driven by a technology called deep learning and neural nets (DNN). I will attempt to provide a brief…

Nodulee Pipeline

Nodulee is a collaboration between Ashish Malhotra and Jovan Sardinha

Keras Tutorial: Content Based Image Retrieval Using a Convolutional Denoising Autoencoder

Machine Learning is Fun Part 8: How to Intentionally Trick Neural Networks

A Look into the Future of…

When GOT’S Game of Faces meets Generative Adversarial Networks!!

Well, if you are a die hard fan of Game of Thrones and if by little chance, you are a newbie in Neural networks and is interested to learn basic working of GANs, then this is the right place for you to understand its…