Difference between revisions of "Winter 2021 CS291A Syllabus"
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** [http://www.fit.vutbr.cz/research/groups/speech/publi/2010/mikolov_interspeech2010_IS100722.pdf Recurrent neural network based language model] | ** [http://www.fit.vutbr.cz/research/groups/speech/publi/2010/mikolov_interspeech2010_IS100722.pdf Recurrent neural network based language model] | ||
** [https://arxiv.org/abs/1303.5778 Speech Recognition With Deep Recurrent Neural Networks] | ** [https://arxiv.org/abs/1303.5778 Speech Recognition With Deep Recurrent Neural Networks] | ||
+ | ** [https://arxiv.org/abs/1502.03240 Conditional Random Fields as Recurrent Neural Networks] | ||
*1/25 LSTMs/GRUs | *1/25 LSTMs/GRUs | ||
** [https://arxiv.org/pdf/1802.05365.pdf Deep contextualized word representations] | ** [https://arxiv.org/pdf/1802.05365.pdf Deep contextualized word representations] |
Revision as of 19:38, 1 January 2021
- 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 submission link, HW1 out)
- 1/18 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 University Holiday: Presidents' Day
- 2/17 Language and vision
- 2/22 Deep Reinforcement Learning 1 (HW2 due: 02/26 Monday 11:59pm)
- 2/24 Deep Reinforcement Learning 2
- 3/1 Generative Adversarial Networks
- 3/3 Project: final presentation (1) submission link by 3/2 noon.
- 3/8 Project: final presentation (2) submission link by 3/5 noon.
- 3/10 Project: final presentation (3) submission link by 3/9 noon.
- 3/19 23:59PM PT Project Final Report Due submission link.