Here is a good tutorial explaining how convolutions work: http://deeplearning.net/software/theano_versions/dev/tutorial/conv_arithmetic.html Here is an example of a convolution with half (one) padding and stride 2

# Posts published in “Neural Nets”

The Energy-Efficient Multimedia Systems (EEMS) group at MIT has a Tutorial on Hardware Architectures for Deep Neural Networks. Here is the website: http://eyeriss.mit.edu/tutorial.html All Slides in one PDF. The slides…

The video lectures for Stanfords very popular CS231n (Convolutional Neural Networks for Visual Recognition) that was held in Spring 2017 was released this month. (According to their twitter page, the…

This link goes to a blogpost describing a neural network and back propagation very intuitively. It also shows hot to create a very simple neural network in JavaScript in 30…

Here is a link to the most recent cs231n course at standford The course page is here: http://cs231n.stanford.edu/

In this recently published paper, Jianxin Wu helps the reader understand how a CNN runs at the mathematical level. It is self contained and you should not need any further…

Here is another book on deep learning and neural nets: Neural Networks and Deep Learning by Michael Nielsen / May 2017 The other one i mentioned before is the Deep…

The guy who wrote the convnetjs javascript library for running nerual nets in your browser or node, has this great series on his blog describing neural nets to coders that…

Read these articles: Attacking Machine Learning with Adversarial Examples Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch) and then read these papers by Ian Goodfellow et al:…