rcmalli / Keras Mobilenet
Licence: mit
Google MobileNet implementation with Keras
Stars: ✭ 256
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Note: This project is not maintained anymore. Mobilenet implementation is already included in Keras Applications folder. Mobilenet
Keras MobileNet
Google MobileNet Implementation using Keras Framework 2.0
Project Summary
- This project is just the implementation of paper from scratch. I don't have the pretrained weights or GPU's to train :)
- Separable Convolution is already implemented in both Keras and TF but, there is no BN support after Depthwise layers (Still investigating).
- Custom Depthwise Layer is just implemented by changing the source code of Separable Convolution from Keras. Keras: Separable Convolution
- There is probably a typo in Table 1 at the last "Conv dw" layer stride should be 1 according to input sizes.
- Couldn't find any information about the usage of biases at layers (not used as default).
TODO
- [x] Add Custom Depthwise Convolution
- [x] Add BN + RELU layers
- [x] Check layer shapes
- [ ] Test Custom Depthwise Convolution
- [ ] Benchmark training and feedforward pass with both CPU and GPU
- [ ] Compare with SqueezeNet
Library Versions
- Keras v2.0+
- Tensorflow 1.0+ (not supporting Theano for now)
References
Licence
MIT License
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