Time: MWF 12:00pm – 12:50pm
Location: Solomon DECI (Room 101)
Course offered in-person with recordings made available for reviewing. The one stop for everything!

[ Week 1-4 ] Deep Learning Basics
[0-2] 09/08 Introduction to Machine Learning and Deep Learning pdf recording
[1-1] 09/13 Linear Classifiers and Perceptrons pdf recording
[1-2] 09/15 Loss Functions and Optimization pdf recording
[2-1] 09/20 Optimization (cont.) and Deep Neural Networks pdf recording
[2-2] 09/22 Backpropagation pdf recording
[3-1] 09/27 Automatic Differentiation
[3-2] 09/29 Deep Learning Hardwares, Intro to Tensorflow
Week 4-5 Convolutional Neural Networks
[4-1] 10/04 Convolutional Neural Network: Basics
[4-2] 10/06 Convolutional Neural Network: Optimization
[5-1] 10/11 Convolutional Neural Networks in Practice
[5-2] 10/13 Interpreting Neural Networks
[ Week 6-9 ] Language Modeling
[6-1] 10/18 Word Embeddings and Language Modeling
[6-2] 10/20 Recurrent Neural Networks
[7-1] 10/25 Machine Translation
[7-2] 10/27 Attention in Recurrent Neural Networks
[8-1] 11/01 Self-Attention and Transformers
[8-2] 11/03 Image Captioning and Multimodal Learning
[9-1] 11/08 No Class (Election Day)
[9-2] 11/10 Graph Neural Networks
[ Week 10-11 ] Generative Models
[10-1] 11/15 Autoencoder and Self-supervised Learning
[10-2] 11/17 Deep Generative Models: VAE and GAN
[11-1] 11/22 Diffusion Models
[11-2] 11/24 No Class (Thanksgiving)
[ Week 12 ] Reinforcement Learning
[12-1] 11/29 Reinforcement Learning: Deep Q Learning
[12-2] 12/01 Reinforcement Learning: Policy Gradient and Actor-critic
[ Week 13 ] Wrap-Up
[13-1] 12/06 Responsible Deep Learning (with STA component)
[13-2] 12/08 Deep Learning Research Frontiers, Conclusion
[14-0] 12/12 Deep Learning Day