Pong AI with Policy Gradients

Introducing arxiv-sanity

CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean

CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning

CS231n Winter 2016: Lecture 13: Segmentation, soft attention, spatial transformers

CS231n Winter 2016: Lecture 12: Deep Learning libraries

CS231n Winter 2016: Lecture 11: ConvNets in practice

CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM

CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples

CS231n Winter 2016: Lecture 8: Localization and Detection

CS231n Winter 2016: Lecture 7: Convolutional Neural Networks

CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets

CS231n Winter 2016: Lecture 5: Neural Networks Part 2

CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1

CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization

CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1

CS231n Winter 2016: Lecture1: Introduction and Historical Context

ConvNet forward pass demo

Large-scale Video Classification with Convolutional Neural Networks, CVPR 2014