Introduction to Deep Learning

Agenda & Content

1st day – 21 October 2024

08:45	Join in
09:00	Welcome and introduction
09:20	Concepts of a neural network: weights & biases, activation functions, loss functions, optimisers, backpropagation
10:30	Break
10:45	Introduction to TensorFlow
11:15	Hands-on example
11:45	Data preparation, metrics and evaluation
12:30	Lunch break
13:30	Hyperparameters
14:00	Hands-on example
14:30	Break
14:45	CNNs
15:15	Hands-on example
15:45	Established architectures for computer vision
16:00	Q & A
16:30	End of first day

2nd day – 22 October 2024

08:45	Join in
09:00	Quiz & summary of day 1
09:30	Hands-on example
10:00	Transfer learning
10:30	Break
10:45	Hands-on example
11:30	RNNs
12:00	Hands-on example
12:30	Lunch break
13:30	LSTMs
14:00	Hands-on example
14:30	LLMs
14:45	Break
15:00	Multi-GPU with Horovod
15:30	Hands-on example or demo
16:00	Q & A
16:30	End of second day (course)