學習 Deep-Learning 過程的簡易筆記,此筆記參考許多網路資源&書籍,來源列在下處。
NLP:
-
Word Representation:
Note: Knowledge-Based Representation, Corpus-Based Representation-1, Corpus-Based Representation-2 -
Word Embedding:
Note: Word embedding, Word embedding-Pretrained -
RNN:
Note: Vanilla RNN, LSTM, GRU -
Torchtext:
Note: Torchtext
Practice:
- Sentimental analysis:
Model: Vanilla RNN with torchtext
Model:
LSTM
Reference:
- Deep Learning with Python - Francois Chollet(2017)
- Natural Language Processing with Pytorch - Delip Rao, Brian McMahan(2019)
- 台大-陳縕儂教授課程 -> NTU CSIE ADL
- 台大-李宏毅教授課程 -> Machine Learning
- 香港科技大學-Sung Kim教授課程 -> PyTorch Zero To All
- bentrevett-github -> pytorch-sentiment-analysis