Winter 2021 CS291A Syllabus
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Checkout the class presentation schedule for additional readings: Class Presentation Schedule
- 1/4 Introduction, logistics, and deep learning.
- 1/6 Tips for a successful class project
- 1/11 Neural network basics, & backpropagation
- 1/13 Word embeddings (Project proposal due 23:59PT 1/13 submission link, HW1 out)
- 1/18 NO CLASS (University Holiday: Martin Luther King Jr. Day)
- 1/20 RNNs
- 1/25 LSTMs/GRUs
- 1/27 Sequence-to-sequence models
- 2/1 Convolutional Neural Networks (HW1 due and HW2 out)
- 2/3 Attention mechanisms
- 2/8 Transformer and BERT (Mid-term report due submission link)
- 2/10 Mid-term project updates upload your slide here by 2/9 noon
- 2/15 NO CLASS (University Holiday: Presidents' Day)
- 2/17 Language and vision
- 2/22 Deep Reinforcement Learning 1
- 2/24 Deep Reinforcement Learning 2 (HW2 due: 02/26 Friday 11:59pm)
- 3/1 Generative Adversarial Networks
- Check out final project presentation schedule here: schedule
- 3/3 Project: final presentation (1) submission link by 3/2 noon.
- 3/8 Project: final presentation (2) submission link by 3/7 noon.
- 3/10 Project: final presentation (3) submission link by 3/9 noon.
- 3/19 23:59PM PT Project Final Report Due submission link.