Difference between revisions of "Winter 2021 CS291A Syllabus"
From courses
| Line 4: | Line 4: | ||
*01/13 Word embeddings (Project proposal due [https://forms.gle/TjYSjc5iE1Zm24ED8 submission link], HW1 out) | *01/13 Word embeddings (Project proposal due [https://forms.gle/TjYSjc5iE1Zm24ED8 submission link], HW1 out) | ||
*01/18 University Holiday: Martin Luther King Jr. Day | *01/18 University Holiday: Martin Luther King Jr. Day | ||
| − | *01/20 | + | *01/20 RNNs |
| − | *01/25 | + | *01/25 LSTMs/GRUs |
| − | + | *01/27 Sequence-to-sequence models | |
| − | * | + | *02/1 Convolutional Neural Networks (HW1 due and HW2 out) |
*02/3 Attention mechanisms | *02/3 Attention mechanisms | ||
| − | *02/8 | + | *02/8 Transformer and BERT (Mid-term report due [https://forms.gle/3mLA46FANTDZ5s5FA submission link]) |
| − | *02/10 | + | *02/10 BERT (continued) |
*02/15 University Holiday: Presidents' Day | *02/15 University Holiday: Presidents' Day | ||
| − | Deep Reinforcement Learning 1 (HW2 due: 02/26 Monday 11:59pm) | + | *02/17 Language and vision |
| − | *02/ | + | *02/22 Deep Reinforcement Learning 1 (HW2 due: 02/26 Monday 11:59pm) |
| − | + | *02/24 Deep Reinforcement Learning 2 | |
| − | + | *03/1 Generative Adversarial Networks | |
| − | *03/1 | + | *03/3 Project: final presentation (1) |
| − | *03/3 Project: final presentation ( | + | *03/8 Project: final presentation (2) |
| − | *03/8 Project: final presentation ( | ||
*03/10 Project: final presentation (3) | *03/10 Project: final presentation (3) | ||
*03/19 23:59PM PT Project Final Report Due [https://forms.gle/kgN8n8XDz83NWdxo9 submission link]. | *03/19 23:59PM PT Project Final Report Due [https://forms.gle/kgN8n8XDz83NWdxo9 submission link]. | ||
Revision as of 00:57, 1 January 2021
- 01/4 Introduction, logistics, and deep learning.
- 01/6 Tips for a successful class project
- 01/11 Neural network basics, & backpropagation
- 01/13 Word embeddings (Project proposal due submission link, HW1 out)
- 01/18 University Holiday: Martin Luther King Jr. Day
- 01/20 RNNs
- 01/25 LSTMs/GRUs
- 01/27 Sequence-to-sequence models
- 02/1 Convolutional Neural Networks (HW1 due and HW2 out)
- 02/3 Attention mechanisms
- 02/8 Transformer and BERT (Mid-term report due submission link)
- 02/10 BERT (continued)
- 02/15 University Holiday: Presidents' Day
- 02/17 Language and vision
- 02/22 Deep Reinforcement Learning 1 (HW2 due: 02/26 Monday 11:59pm)
- 02/24 Deep Reinforcement Learning 2
- 03/1 Generative Adversarial Networks
- 03/3 Project: final presentation (1)
- 03/8 Project: final presentation (2)
- 03/10 Project: final presentation (3)
- 03/19 23:59PM PT Project Final Report Due submission link.
