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In PyTorch Learing Neural Networks Likes CNN、BiLSTM
| Date | Stars |
|---|---|
| 2026-07-24 | 1450 |
| 2026-07-25 | 1450 |
| 2026-07-28 | 1450 |
| 2026-07-30 | 1450 |
| 2026-07-31 | 1449 |
| 2026-08-05 | 1450 |
| 2026-08-06 | 1450 |
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## Introduction ## - A classification task implement in pytorch, contains some neural networks in [models](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/tree/master/models). * Recenely, I've released the code. * **old-version-17** release [here](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/releases/tag/pytorch0.3.1-old_version_17) * **pytorch version == 0.3.1** release on [here](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/releases/tag/pytorch0.3.1) - This is a version of my own architecture --- [pytorch-text-classification](https://github.com/bamtercelboo/pytorch_text_classification) - **BERT For Text Classification** --- [PyTorch_Bert_Text_Classification](https://github.com/bamtercelboo/PyTorch_Bert_Text_Classification) ## Requirement ## pyorch : 1.0.1 python : 3.6 torchtext: 0.2.1 cuda : 8.0 (support cuda speed up, can chose, default True) ## Usage ## modify the config file, see the Config directory([here](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/tree/master/Config)) for detail. 1、python main.py 2、python main.py --config_file ./Config/config.cfg 3、sh run.sh ## Model ## Contains some neural networks implement in pytorch, see the [models](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/tree/master/models) for detail. ## Data ## SST-1 and SST-2. ## Result ## I haven't adjusted the hyper-parameters seriously, you can also see train log in [here](https://github.com/bamtercelboo/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch/tree/master/result). The following test set accuracy are based on the best dev set accuracy. | Data/Model | % SST-1 | % SST-2 | | ------------ | ------------ | ------------ | | CNN | 46.1086 | 84.2943 | | Bi-LSTM | 47.9186 | 86.3262 | | Bi-GRU | 47.6923 | 86.7655 | ## Reference ## - [基于pytorch的CNN-LSTM神经网络模型调参小结](http://www.cnblogs.com/bamtercelboo/p/7469005.html "基于pytorch的CNN-LSTM神经网络模型调参小结") - [Convolutional Neural Networks for Sentence Classification](https://arxiv.org/pdf/1408.5882.pdf) - [Context-Sensitive Lexicon Features for Neural Sentiment Analysis](https://arxiv.org/pdf/1408.5882.pdf)
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:cf80a5a6b4b82306, topic:pytorch