This course has four homeworks, group by group. The four homeworks are as follows:
- Deep Learning Theory
- Sequence-to-sequence Model
- Deep Generative Model
- Deep Reinforcement Learning
- BLEU@1 = 0.7204
- README
- hw2_1/report.pdf
- Perplexity = 11.83, Correlation Score = 0.53626
- README
- hw2_2/report.pdf
- README
- Image Generation: 100% (25/25) Pass Baseline
./gan-baseline/baseline_result_gan.png |
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- README
- Text-to-Image Generation: 100% (25/25) Pass Baseline
Testing Tags | ./gan-baseline/baseline_result_cgan.png |
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blue hair blue eyes blue hair green eyes blue hair red eyes green hair blue eyes green hair red eyes |
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- README
- Policy Gradient: Mean Rewards in 30 Episodes = 16.466666666666665
- README
- Deep Q Learning: Mean Rewards in 100 Episodes = 73.16