Completed
- Training and gradient descent
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
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
