https://github.com/joansj/pytorch-intro
A couple of scripts to illustrate how to do CNNs and RNNs in PyTorch
https://github.com/joansj/pytorch-intro
Last synced: 6 months ago
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A couple of scripts to illustrate how to do CNNs and RNNs in PyTorch
- Host: GitHub
- URL: https://github.com/joansj/pytorch-intro
- Owner: joansj
- Archived: true
- Created: 2017-05-19T13:48:52.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-05-23T15:19:22.000Z (over 8 years ago)
- Last Synced: 2024-08-04T00:13:52.184Z (over 1 year ago)
- Language: Python
- Size: 1.54 MB
- Stars: 37
- Watchers: 2
- Forks: 7
- Open Issues: 0
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Metadata Files:
- Readme: readme.txt
Awesome Lists containing this project
- Awesome-pytorch-list - pytorch-intro
- Awesome-pytorch-list-CNVersion - pytorch-intro
README
This is just a couple of simple scripts to illustrate how to use PyTorch. There are two examples:
1) Convolutional residual network (bottleneck variant) inspired by [R1] -- We use CIFAR-10 to train/test.
2) LSTM-based word language model inspired by [R2] -- We use a custom-processed version of the Penn Treebank data set.
[R1] He et al. (2015), "Deep residual learning for image recognition", Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 770-778. https://arxiv.org/abs/1512.03385
[R2] Zaremba et al. (2015), "Recurrent neural network regularization", Int. Conf. on Learning Representations (ICLR). https://arxiv.org/abs/1409.2329