https://github.com/n3011/deep_residual_network
Implementation of deep residual networks with inception bottleneck in Lasagne
https://github.com/n3011/deep_residual_network
deep-residual-network inception-bottleneck lasagne
Last synced: about 2 months ago
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Implementation of deep residual networks with inception bottleneck in Lasagne
- Host: GitHub
- URL: https://github.com/n3011/deep_residual_network
- Owner: n3011
- Created: 2016-03-23T01:33:33.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2016-06-28T09:59:14.000Z (almost 9 years ago)
- Last Synced: 2025-01-29T18:13:22.358Z (4 months ago)
- Topics: deep-residual-network, inception-bottleneck, lasagne
- Language: Python
- Size: 8.79 KB
- Stars: 0
- Watchers: 3
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Deep-Residual-Network
Implementation of deep residual networks with inception bottleneck in Lasagne
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, "Identity Mappings in Deep Residual Networks", http://arxiv.org/abs/1603.05027
Implemented various bottleneck architecture, dropout bottleneck etc
Proposed new bootleneck architecture using modified Inception module
Resnet Implementation in Python, Lasagne
## Usage
`THEANO_FLAGS=device=gpu0,floatX=float32 python resnetcifar.py [options]`