A hands-on introductory session to deep learning, focusing on PyTorch.
Course content
Fundamentals of deep learning
Training, validating and testing a model
Data augmentation
Transfer learning: adapting an existing neural network to your needs
Prerequisites
A working laptop (no minimum performance requirements)
Basic programming skills
Knowledge of Python strongly recommended
A ROMEO account is required and will be provided for the practical session