CS224D Lecture 1 - 29th Mar 2016 - Introduction.mp4

CS224D Lecture 2 - 31st Mar 2016 - Word Vectors.mp4

CS224D Lecture 3 - 5th Apr 2016 - More Word Vectors.mp4

CS224D Lecture 4 - 7th Apr 2016 - Word Window Classification and Neural Networks

CS224D Lecture 5 - 12th Apr 2016 - Project Information + Neural Networks & Backprop.mp4

CS224D Lecture 6 - 14th Apr 2016 - Neural Tips and Tricks + Recurrent Neural Networks.mp4

CS224D Lecture 7 - Introduction to TensorFlow (19th Apr 2016)-L8Y2_Cq2X5s.mp4

CS224D Lecture 8 - 21st Apr 2016 - Recurrent Neural Networks.mp4

CS224D Lecture 8 - 2015 - Fancy Recurrent Neural Networks for Machine Translation

CS224D Lecture 10 - 28th Apr 2016 - Wrap up: LSTMs and Recursive Neural Networks

CS224D Lecture 11 - 3rd May 2016 - Advanced Recursive Neural Networks

CS224D Lecture 13 - Lectures from 2015 - Convolutional Neural Networks (for NLP).mp4

CS224D Lecture 16 - Lectures from 2015 - Applications of DL to NLP

CS224D Guest Lecture - Jason Weston - Lectures from 2015-Xumy3Yjq4zk.mp4

CS224D Guest Lecture - Andrew Maas - Lectures from 2015-6D8_4GkEWUg.mp4