Difference between revisions of "Winter 2021 CS291A Syllabus"
From courses
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*02/22 Deep Reinforcement Learning 1 (HW2 due: 02/26 Monday 11:59pm) | *02/22 Deep Reinforcement Learning 1 (HW2 due: 02/26 Monday 11:59pm) | ||
*02/24 Deep Reinforcement Learning 2 | *02/24 Deep Reinforcement Learning 2 | ||
| + | ** [https://openreview.net/pdf?id=S1g2skStPB Causal Discovery with Reinforcement Learning] | ||
*03/1 Generative Adversarial Networks | *03/1 Generative Adversarial Networks | ||
** [https://arxiv.org/abs/1701.04862 Towards Principled Methods for Training Generative Adversarial Networks] | ** [https://arxiv.org/abs/1701.04862 Towards Principled Methods for Training Generative Adversarial Networks] | ||
Revision as of 01:21, 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.
