ADL2019
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Applied Deep Learning (2019 Spring) @ NTU
ADL2019
Applied Deep Learning (2019 Spring) @ NTU
This course is lectured by Yun-Nung (Vivian) Chen and has four homeworks. The four homeworks are as follows:
- Dialogue Modeling
- Contextual Embeddings
- Deep Reinforcement Learning
- Conditional Generative Adversarial Nets
Browse this course website for more details.
Table of Contents
- Dialogue Modeling
- Sequence Classification with Contextual Embeddings
- Deep Reinforcement Learning
- Conditional Generative Adversarial Nets
Results of Four Homeworks
1. Dialogue Modeling
2. Contextual Embeddings
3. Deep Reinforcement Learning
3.1. Policy Gradient
3.2. Deep Q-Learning (DQN)
3.3. Actor-Critic
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4. Conditional Generative Adversarial Nets
4.1. Training Progress
- Resnet-based ACGAN with BCE loss (resnet_1000)
4.2. Human Evaluation Results
- Resnet-based ACGAN with BCE loss (resnet_1000)