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https://github.com/arkasarkar19/signs-image-classification-using-resnets

Refer Readme.md
https://github.com/arkasarkar19/signs-image-classification-using-resnets

computer-vision convblock idblock machine-learning neural-networks python residual-networks skip-connections

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Refer Readme.md

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# SIGNS-Image-Classification-using-ResNets
The code is in python.
I have used the the following Architecture : CONV2D -> BATCHNORM -> RELU -> MAXPOOL -> CONVBLOCK -> IDBLOCK x 2 -> CONVBLOCK -> IDBLOCK x 3 -> CONVBLOCK -> IDBLOCK x 5 -> CONVBLOCK -> IDBLOCK x 2 -> AVGPOOL -> FLATTEN -> FCLAYER -> OUTPUT

CONVBLOCK AND IDBLOCK are implemented in model.py

### IDBLOCK
![IDBLOCK](https://github.com/ArkaSarkar19/SIGNS-Image-Classification-using-ResNets/blob/master/readme_images/idblock.png?raw=true)

### CONVBLOCK
![IDBLOCK](https://github.com/ArkaSarkar19/SIGNS-Image-Classification-using-ResNets/blob/master/readme_images/convblock.png?raw=true)