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Introduction to AI
Introduction
Setup
Theory (part 1)
Perceptron
Activation functions
MLP evaluation
Practical (part 1)
PyTorch and tensors
Data pipeline
Classes and perceptron
Multi-layer perceptron
Theory (part 2)
Gradient descent
Backpropagation
Practical (part 2)
Training pipeline
Learning rate
HPC and where to go next
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This course was written by:
Huw Day
Boyi Li
Vaishnudebi Dutta
Zhengzhe Peng
The course is maintained by the Jean Golding Institute team.
HPC and where to go next