Welcome to Lecture Notes on Deep Learning

Use the navigation the right to find the corresponding lesson

General Notes on what lesson covers what:

Lecture counter	Lesson Number	Description
1	9	Introduction, brief overview of stable diffusion
2	10	Arrays, lists + matrices + random number generators
3	11	matrix operations, broadcasting
4	12	Layer basics + implementing them with matrix operations, broadcasting
5	13	Learning about efficient Layer operations + wrapping with classes, start training loop
6	14	Refining Training loop
7	15	Convolutions, autoencoder, learner topics
8	16	Learner, activations, learning rates
9	17	initialization, faster SGD
10	18