sumitsarkar1 / sumitEVA7

Directory Structure for Deep Learning Assignments

sumitEVA7

Directory Structure for Deep Learning Assignments

This directory consists of CNN models, Data Augmentation Methods, Training and Testing functions in a modular form. It also contains a GradCam class to analyse missclassified images in a classification problem

Models folder contains three customized ResNet18 architectures:

1. resnset.py for gradcam example
2. custom_resnet.py for 90% Test accuracy on Cifar10 data in 24 epochs
3. resnet18_64.py for TinyImageNet data set with input size of 64x64