Dec 18 – 19, 2023
ONLINE
Europe/Vienna timezone

Agenda & Content

1st day – 18 December 2023

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

2nd day – 19 December 2023

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