Date	Topic	Notes	Reading
Week 1
2022-10-31 10:00-12:00	Introduction	[slides]	Deep Learning Book (Ch. 1, 2, 3)
2021-11-04 10:00-12:00	Serverless Machine Learning	[slides]	For more details on serverless ML: https://www.serverless-ml.org/
Week 2
2022-11-07 08:00-10:00	Regression, Classification, and Decision Trees	[slides]	Deep Learning Book (Ch. 4, 5) Handson Book (Ch. 2, 4)
2021-11-10 14:00-16:00	Deep Feedforward Networks	[slides]
2021-11-11 13:00-15:00	Lab 1	See Canvas for details of Lab 1 and deadlines.
Week 3
2021-11-14 10:00-12:00	Training Deep Feedforward Nets	Slides	Deep Learning Book (Ch. 7, 8), Handson Book (Ch. 11)
2021-11-16 13:00-15:00	Julien Simon (Chief Evanglist) will talk about Hugging Face	Erik Bernhardsson (CEO and co-founder) will talk about Modal	See Canvas for Zoom Link to Lecture.
2021-11-18 8:00-10:00	Lab 1	See Canvas for details of Lab 1 and deadlines.
Week 4
2021-11-21 08:00-10:00	Convolutional Nets	Slides	Deep Learning Book (Ch. 9), Handson Book (Ch. 14), 10 CNN Architectures [link]
2021-11-24 13:00-15:00	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]
2021-11-25 13:00-15:00	Lab 2	See Canvas for details.
Week 5
2021-11-28 08:00-10:00	Feature Stores for Machine Learning	slides, Hopsworks Docs	Reading references in slides.
2021-11-30 13:00-15:00	Machine Learning Operations (MLOps)	slides	Reading references in slides.
Week 6
2021-12-05 10:00-12:00	Real-Time Machine Learning	slides	Reading references in slides.
2021-12-09 10:00-12:00	Project Presentation	See Canvas for Details
Week 7
2021-12-12 13:00-15:00	AutoML: Hyperparameter Tuning and Neural Architecture Search	slides	Reading references in slides.
2021-12-14 13:00-15:00	Data and Model Parallel Training of Deep Neural Networks	slides	Reading references in slides.