Pong AI with Policy Gradients
Andrej Karpathy
Pong AI with Policy Gradients
2:41
Introducing arxiv-sanity
Andrej Karpathy
Introducing arxiv-sanity
3:34
CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean
Andrej Karpathy
CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean
1:14:50
CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning
Andrej Karpathy
CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning
1:17:36
CS231n Winter 2016: Lecture 13: Segmentation, soft attention, spatial transformers
Andrej Karpathy
CS231n Winter 2016: Lecture 13: Segmentation, soft attention, spatial transformers
1:11:00
CS231n Winter 2016: Lecture 12: Deep Learning libraries
Andrej Karpathy
CS231n Winter 2016: Lecture 12: Deep Learning libraries
1:21:07
CS231n Winter 2016: Lecture 11: ConvNets in practice
Andrej Karpathy
CS231n Winter 2016: Lecture 11: ConvNets in practice
1:15:03
CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM
Andrej Karpathy
CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM
1:09:54
CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples
Andrej Karpathy
CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples
1:18:20
CS231n Winter 2016: Lecture 8: Localization and Detection
Andrej Karpathy
CS231n Winter 2016: Lecture 8: Localization and Detection
1:04:57
CS231n Winter 2016: Lecture 7: Convolutional Neural Networks
Andrej Karpathy
CS231n Winter 2016: Lecture 7: Convolutional Neural Networks
1:19:01
CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets
Andrej Karpathy
CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets
1:09:36
CS231n Winter 2016: Lecture 5: Neural Networks Part 2
Andrej Karpathy
CS231n Winter 2016: Lecture 5: Neural Networks Part 2
1:18:38
CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1
Andrej Karpathy
CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1
1:19:39
CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization
Andrej Karpathy
CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization
1:11:23
CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1
Andrej Karpathy
CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1
57:28
CS231n Winter 2016: Lecture1: Introduction and Historical Context
Andrej Karpathy
CS231n Winter 2016: Lecture1: Introduction and Historical Context
1:19:08
ConvNet forward pass demo
Andrej Karpathy
ConvNet forward pass demo
1:00
Large-scale Video Classification with Convolutional Neural Networks, CVPR 2014
Andrej Karpathy
Large-scale Video Classification with Convolutional Neural Networks, CVPR 2014
1:13