This article contains a brief explanation of the paper ImageNet Classification with Deep Convolutional Neural Networks by Alex Krizhevsky et.al . The paper discusses how the depth of the network can give improved results on datasets when implemented through GPUs.

This post is about a simple and yet powerful approach known as Dropout implemented in neural net for reducing overfitting.