CS231n Winter 2016: Lecture1: Introduction and Historical Context

(1:19:8)

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

(1:9:36)

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

(1:19:39)

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

(1:9:54)

CS231n Winter 2016: Lecture 7: Convolutional Neural Networks

(1:19:1econd)

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

(57:28)

CS231n Winter 2016 Lecture 7 Convolutional Neural Networks LxfUGhug iQ-sHyIqu_S5Ks.mp4

(1:19:1econd)

CS231n Winter 2016: Lecture 5: Neural Networks Part 2

(1:18:38)

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

(1:11:23)

CS231n Winter 2016: Lecture 8: Localization and Detection

(1:4:57)