Schedule

All times shown in Central Daylight Time

Time	Concept	Notes
09:00	Intro to Deep Learning (backpropagation, SGD and other concepts)	notebooks 1, 2, 3
10:00	Convolutional Neural Networks – Architectures for Object Recognition	notebooks 4, 5, 6
10:55	Short Break
11:00	Convolutional Neural Networks – Architectures of Object Detection, Semantic Segmentation, Autoencoders, etc.	notebooks 7
12:00	Lunch Break
13:30	More architectures – LSTMs, Transformers, etc.	notebooks 8, 9
14:30	Algorithms – Generative Adversarial Networks	notebooks 10
14:55	Short Break
15:00	Algorithms – Reinforcement Learning	notebooks 11
15:30	Algorithms – Scientific Machine Learning	notebooks 12
16:00	Emerging topics in deep learning: Interpretability, adversarial learning, distributed deep learning etc.