Discussion on Lecture 2 – Overview of Deep Learning from a Practical Point of View

Readings:

Emergence of simple cell

ImageNet Classification with Deep Convolutional Neural Networks (Alexnet)

Very Deep Convolutional Networks for Large-Scale Image Recognition (VGG)

Going Deeper with Convolutions (GoogLeNet)

Deep Residual Learning for Image Recognition (ResNet)

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Visualizing and Understanding Convolutional Neural Networks

Blogs:

An Intuitive Guide to Deep Network Architectures

Neural Network Architectures

Videos:

Deep Visualization Toolbox