- Python 3.3+
- pillow (PIL)
- (Optional) Tiny ImageNet Database: Tiny ImageNet Database (200 classes)
- Use of 8 Fire Modules.
- Starting convolution filter of kernel size = 7 and output_filters = 96
- Pool Layers used after conv1, fire4 and fire8.
SqueezeNet V0 Residual (Using Bypass Connections)
- Uses bypass connections between layers.
- Bypass connections between fire2 and fire4, fire6 and pool2, fire8 and fire6, cxonv10 and pool3.
- Model defined in official repository
- Starting convolution filter of kernel size = 3 and output filters = 64
- Pool layers used after conv1, fire3 and fire5.
This project is licensed under the MIT License - see the LICENSE file for details
Abhishek Tandon/ @Tandon-A