Pytorch notes

Basic_concept_1_tensor_operations.ipynb demonstrates tensor and four different operations (i.e., reshape, element-wise, reduction, access)
Basic_concept_2_data_preparation.ipynb gives an example about using Dataset, TensorDataset and DataLoader
Basic_concept_3_model_save_and_load.ipynb gives example about how to save and load trained model
Basic_concept_4_model.ipynb gives an example about how to define model
Basic_concept_5_TensorBoard.ipynb gives an example about how to use TensorBoard

Pytorch projects

Basic_project_1_regression.ipynb uses one hidden layer MLP to fit cosine function.
Basic_project_2_sentiment_analysis implements A structured self-attentive sentence embedding for sentiment analysis on IMDB dataset. See Chinese notes, or 中文解读

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
Basic_project_2_sentiment_analysis		Basic_project_2_sentiment_analysis
Basic_concept_1_tensor_operations.ipynb		Basic_concept_1_tensor_operations.ipynb
Basic_concept_2_data_preparation.ipynb		Basic_concept_2_data_preparation.ipynb
Basic_concept_3_model_save_and_load.ipynb		Basic_concept_3_model_save_and_load.ipynb
Basic_concept_4_Model.ipynb		Basic_concept_4_Model.ipynb
Basic_concept_5_TensorBoard.ipynb		Basic_concept_5_TensorBoard.ipynb
Basic_project_1_regression.ipynb		Basic_project_1_regression.ipynb
README.md		README.md