Stanford CS221 AI Lecture 3: Machine Learning 2 – Features, Neural Networks 97.4% 20.35K Views 223 Likes July 1, 2021 EducationMachine LearningNew 0 Comments In this video Percy Liang 4 VIDEOS Dorsa Sadigh 4 VIDEOS Recorded in Autumn 2019 Topics: Features and non-linearity, Neural networks, nearest neighbors 2019StanfordUniversity 01:20:34 PREV Stanford CS221 AI Lecture 2: Machine Learning 1 – Linear Classifiers, SGD (Stochastic Gradient Descent) July 1, 2021 01:23:07 NEXT Stanford CS221 AI Lecture 4: Machine Learning 3 – Generalization, K-means July 1, 2021 AI video(s) you might be interested in … 0 My 6 Favorite YouTube Channels for 2020 (as a machine learning engineer) October 25, 2021 13 13:41 Learning about Generative Adversarial Networks on Udacity | 100 Days of Code 11 October 25, 2021 0 Collaborative ML with TensorBoard.dev (TF Dev Summit '20) October 25, 2021 1 35:07 Next Gen: Cloud future – What next generation cloud infrastructure means for industries of tomorrow October 25, 2021 14 01:17:44 Cascade-Correlation and Deep Learning | Guest Lecturer Scott E. Fahlman October 25, 2021 0 (26) While vs For vs Goto-Programme October 25, 2021 Comment on this AI video … Cancel replyYour email address will not be published. Required fields are marked * Save my name, email, and website in this browser for the next time I comment.
01:20:34 PREV Stanford CS221 AI Lecture 2: Machine Learning 1 – Linear Classifiers, SGD (Stochastic Gradient Descent) July 1, 2021
13 13:41 Learning about Generative Adversarial Networks on Udacity | 100 Days of Code 11 October 25, 2021
1 35:07 Next Gen: Cloud future – What next generation cloud infrastructure means for industries of tomorrow October 25, 2021
