Completed
- Introduction
Class Central Classrooms beta
YouTube playlists curated by Class Central.
Classroom Contents
MIT Introduction to Deep Learning
Automatically move to the next video in the Classroom when playback concludes
- 1 - Introduction
- 2 - Course information
- 3 - Why deep learning?
- 4 - The perceptron
- 5 - Activation functions
- 6 - Perceptron example
- 7 - From perceptrons to neural networks
- 8 - Applying neural networks
- 9 - Loss functions
- 10 - Training and gradient descent
- 11 - Backpropagation
- 12 - Setting the learning rate
- 13 - Batched gradient descent
- 14 - Regularization: dropout and early stopping
- 15 - Summary
