Date	Topic	Notes	Reading
Week 1
2024-10-27	Introduction	[slides]	Deep Learning Book (Ch. 1, 2, 3)
2024-10-28	Serverless Machine Learning	[slides]	For more details on serverless ML: https://www.serverless-ml.org/
Week 2
2024-11-04 08:00-10:00	Regression, Classification, and Decision Trees	[slides]	Deep Learning Book (Ch. 4, 5) Handson Book (Ch. 2, 4)
2024-11-05 13:00-15:00	Deep Feedforward Networks	[slides]
2024-11-07 13:00-15:00	Lab 1	See Canvas for details of Lab 1 and deadlines.
Week 3
2024-11-11 15:00-17:00	Training Deep Feedforward Nets	Slides	Deep Learning Book (Ch. 7, 8), Handson Book (Ch. 11)
2024-11-12 15:00-17:00	Convolutional Nets	Slides	Deep Learning Book (Ch. 9), Handson Book (Ch. 14), 10 CNN Architectures [link]
2024-11-15 15:00-17:00	Lab 1	See Canvas for details of Lab 1 and deadlines.
Week 4
2024-11-18 15:00-17:00	Invited talks from industry by Erik (Modal) and Leonid (Feldera) - Zoom recording
2024-11-19 10:00-12:00	RNNs, Attention and Transformers	Slides	Deep Learning Book (Ch. 10) Handson Book (Ch. 15, 16) Attention Is All You Need [paper]. Mechanics of Seq2seq Models With Attention [link]. The Illustrated Transformer [link]
2024-11-21 13:00-15:00	See Canvas for details of Lab 2 and deadlines.	See Canvas for details.
Week 5
2024-11-25 08:00-10:00	Feature Stores for Machine Learning	slides, Chapters 4 and 5	Reading references in slides.
2024-11-26 10:00-12:00	Machine Learning Operations (MLOps)	slides	Reading references in slides.
Week 6
2024-12-02 15:00-17:00	Real-Time Machine Learning	slides	Reading references in slides.
2024-12-03 10:00-12:00	Project Presentation	See Canvas for Details
Week 7
2024-12-09 13:00-15:00	AutoML: Hyperparameter Tuning and Neural Architecture Search	slides	Reading references in slides.
2024-12-10 13:00-15:00	Data and Model Parallel Training of Deep Neural Networks	slides	Reading references in slides.