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: about 1 month 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 (about 7 years ago)
• Default Branch: master
• Last Pushed: 2017-05-23T15:19:22.000Z (almost 7 years ago)
• Last Synced: 2024-01-26T19:36:35.791Z (4 months ago)
• Language: Python
• Size: 1.54 MB
• Stars: 37
• Watchers: 2
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: readme.txt

Lists

• 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