Utils files description

• custom_resnet.py: builds custom ResNet models with the specified input, output sizes, stages, block multiplicity, and kernel sizes.
• custom_ResNeXt.py: builds custom ResNeXt models
• SE_resnet.py: build custom SE-ResNet models with the specified input, output sizes, stages, block multiplicity, and kernel sizes.
• SE_ResNeXt.py: build custom SE-ResNeXt models
• add_SE.py: adds SE blocks to any models by entering a list of layers where the SE blocks go.
• ablation_resnet.py: builds custom SE-Resnet models with different SE-block integration methods: Standard, POST, PREO and Identity
• evaluate_model.py: evaluate model accuracy with Top-n accuray parameters
• train_xxx.py: all the training functions for the CIFAR, Tiny ImageNet and ratio tests on different models.
• tiny_imageNet.py: gives consistent label order when switching environment or os.