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
Last synced: 2 months ago
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Refer Readme.md
- Host: GitHub
- URL: https://github.com/arkasarkar19/signs-image-classification-using-resnets
- Owner: ArkaSarkar19
- Created: 2020-06-15T20:36:36.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-16T12:16:20.000Z (about 6 years ago)
- Last Synced: 2025-12-30T11:42:50.181Z (6 months ago)
- Topics: computer-vision, convblock, idblock, machine-learning, neural-networks, python, residual-networks, skip-connections
- Language: Python
- Homepage:
- Size: 8.75 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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

### CONVBLOCK
