CS231n Winter 2016
5.0
(0)
11 learners
What you'll learn
This course includes
- 18.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 15 lessons • 18.3 hours of video
CS231n Winter 2016
15 lessons
• 18.3 hours
CS231n Winter 2016
15 lessons
• 18.3 hours
- CS231n Winter 2016: Lecture1: Introduction and Historical Context 01:19:08
- CS231n Winter 2016: Lecture 2: Data-driven approach, kNN, Linear Classification 1 57:28
- CS231n Winter 2016: Lecture 3: Linear Classification 2, Optimization 01:11:23
- CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1 01:19:39
- CS231n Winter 2016: Lecture 5: Neural Networks Part 2 01:18:38
- CS231n Winter 2016: Lecture 6: Neural Networks Part 3 / Intro to ConvNets 01:09:36
- CS231n Winter 2016: Lecture 7: Convolutional Neural Networks 01:19:01
- CS231n Winter 2016: Lecture 8: Localization and Detection 01:04:57
- CS231n Winter 2016: Lecture 9: Visualization, Deep Dream, Neural Style, Adversarial Examples 01:18:20
- CS231n Winter 2016: Lecture 10: Recurrent Neural Networks, Image Captioning, LSTM 01:09:54
- CS231n Winter 2016: Lecture 11: ConvNets in practice 01:15:03
- CS231n Winter 2016: Lecture 12: Deep Learning libraries 01:21:07
- CS231n Winter 2016: Lecture 14: Videos and Unsupervised Learning 01:17:36
- CS231n Winter 2016: Lecture 13: Segmentation, soft attention, spatial transformers 01:11:00
- CS231n Winter 2016: Lecture 15: Invited Talk by Jeff Dean 01:14:50
Take this course with you
Download the app to continue lessons from your phone anytime.
