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Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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This repository includes basics and advanced examples for deep learning by using Pytorch.
Basics which are basic nns like Logistic, CNN, RNN, LSTM are implemented with few lines of code, advanced examples are implemented by complex model.
It is better finish Official Pytorch Tutorial before this.

Continue updating...

Tutorial

Get tutorial series in Blog if know Chinese

Tabel of Pytorch Examples

1. Basics

2. Reinforcement Training

3. NLP

4. Vision

5. Special Things

6. Speech

Getting Started

clone code

$ git clone git@github.com:ne7ermore/torch-light.git

train

$ cd torch-light/project
$ python3 main.py

or

$ cd torch-light/project
$ python3 corpus.py
$ python3 main.py

or

$ cd torch-light/project
$ python3 corpus.py
$ python3 train.py

Citation

If you find this code useful for your research, please cite:

@misc{TaoTorchLight,
  author = {Ne7ermore Tao},
  title = {torch-light},
  publisher = {GitHub},
  year = {2020},
  howpublished = {\url{https://github.com/ne7ermore/torch-light}}
}

Contact

Feel free to contact me if there is any question (Tao liaoyuanhuo1987@gmail.com). Tao Ne7ermore/ @ne7ermore

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Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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