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https://github.com/jacksonchen1998/2023-nycu-dl

Homework for Deep Learning class
https://github.com/jacksonchen1998/2023-nycu-dl

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Homework for Deep Learning class

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# 2023-NYCU-DL
## Homework for Deep Learning class
- [Homework 1](./Homework%201/2023_DL_HW1.pdf)
- Feedforward Neural Network
- Convolutional Neural Network
- [Homework 2](./Homework%202/README.md)
- Image Generation
- Generative Adversarial Network
- Diffusion Probabilistic Model
- Document Classification
- Transformer
- Prompt-based Learning
## Class Notes
[HackMD](https://hackmd.io/l-PR6fjWS-Kssew43hQzLw)
## Grade
- Homework $\times$ 2 (or Task Competition) (60%)
- Final Project (40%)
- Class Attendance (+10%)
## Reference
- [Ebook](https://www.deeplearningbook.org/)
- [Deep Learning with Goodfellow YT](https://www.youtube.com/playlist?list=PLsXu9MHQGs8df5A4PzQGw-kfviylC-R9b)
- [Deep Learning with Goodfellow pdf](http://imlab.postech.ac.kr/dkim/class/csed514_2019s/DeepLearningBook.pdf)
- [Deep Learning Book Notes from Stanford](https://github.com/greentfrapp/deep-learning-book-notes)