Все публикации

0:03:34

Introducing arxiv-sanity

1:14:50

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

1:17:36

CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning

1:11:00

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

1:21:07

CS231n Winter 2016: Lecture 12: Deep Learning libraries

1:15:03

CS231n Winter 2016: Lecture 11: ConvNets in practice

1:09:54

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

1:18:20

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

1:04:57

CS231n Winter 2016: Lecture 8: Localization and Detection

1:19:01

CS231n Winter 2016: Lecture 7: Convolutional Neural Networks

1:09:36

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

1:18:38

CS231n Winter 2016: Lecture 5: Neural Networks Part 2

1:19:39

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

1:11:23

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

0:57:28

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

1:19:08

CS231n Winter 2016: Lecture1: Introduction and Historical Context

0:01:00

ConvNet forward pass demo