Math for Deep Learning
The mathematics behind deep learning — backpropagation, matrix calculus, and the linear algebra of networks — as a written handbook.
Who it's for
Learners ready to go under the hood of neural networks mathematically.
What you'll learn
- Follow backpropagation as matrix calculus
- Understand the linear algebra of layers and activations
- Reason about gradients flowing through a network
Course contents
- 01Linear algebra of networks
- 02Matrix calculus & the chain rule
- 03Backpropagation, derived