Deep Learning

How neural networks really work — interactive concepts plus guided deep dives on neural nets, transformers, CNNs, sequence models, and generative models.

Who it's for

Learners with some ML background who want to understand modern deep learning from the ground up.

What you'll learn

  • Understand backprop, autodiff, and the vanishing/exploding gradient problem
  • See how convolutional and sequence models process structured data
  • Build intuition for transformers and attention
  • Grasp how generative models learn to create

Course contents

  1. 01Training internals — gradients, autodiff, optimization
  2. 02Architectures — neural nets, CNNs, sequence models
  3. 03Transformers & attention
  4. 04Generative models