AdvancedML301

Deep Learning with PyTorch

Build, train, and debug neural networks with PyTorch: tensors, autograd, training loops, CNNs, transfer learning, and the systematic skills to catch what AI gets wrong in deep learning code.

Lessons are AI-assisted and human-reviewed. Learn more.

Syllabus

PyTorch Foundations

Tensors and AutogradFree preview

35 min

The Training Loop

40 min

Datasets and DataLoaders

30 min

Building and Tuning Networks

Convolutional Neural Networks

45 min

Transfer Learning

40 min

Regularisation and Generalisation

35 min

Debugging Training Runs

40 min