This is the final project in a deep learning course at Ben Gurion University. In this project we had implemented a number of Architectures for Semantic Segmentation of cells from microscope images.
python mainScript.py --mode='train' --net-type='FCN' --plot-activations=true --plot-weights=false
the following command will run train a fully convolutional architecture with plots of the activation functions.
The net types are the following:
- FCN
- EncoderDecoder
- ResNetFCN
- DeeperResNetFCN
- EncoderDecoderResNet