[DL & NLP] 독학 자료 정리

pytorch 공식 documentation 읽을 것

1. Linear Regression (선형 회귀)
   https://wikidocs.net/21670
2. Logistic Regression
   https://wikidocs.net/22881
3. Tensor Calculation
   https://ko.khanacademy.org/math/precalculus/x9e81a4f98389efdf:matrices
4. Perceptron
   https://wikidocs.net/24958
   https://wikidocs.net/24987
   https://wikidocs.net/150781
   https://pytorch.org/docs/stable/generated/torch.nn.Linear.html
5. Pytorch basic
   https://pytorch.org/docs/stable/generated/torch.nn.MSELoss.html
   https://pytorch.org/docs/stable/generated/torch.nn.CrossEntropyLoss.html
6. Embedding
   https://pytorch.org/docs/stable/generated/torch.nn.Embedding.html
   https://velog.io/@lighthouse97/%EC%9B%8C%EB%93%9C-%EC%9E%84%EB%B2%A0%EB%94%A9Word-Embedding
7. RNN & LSTM
   https://wikidocs.net/22886
   https://wikidocs.net/22888
   https://wikidocs.net/22894
   https://pytorch.org/docs/stable/generated/torch.nn.LSTM.html