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Deep-Learning

Feature_Extraction_and_Classification.ipynb:

-> Architecture of ResNet18 was cusomized for our use case.

-> Feature extraction from last fc layer of Resnet18 for Train and Test images in Datasets.

-> Classification using k-Nearest Neighbours.

-> Accuracy Check (k=5) : 95%

Fine_tuning.ipynb:

-> Architecture of ResNet18 was cusomized for our use case.

-> Last fc layer was replaced with new fc layer for the number of classes in our dataset.

-> Trained the model on training dataset.

-> Accuracy Check for epochs = 100 : range between [ 97.15, 100 ]

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PyTorch implementation of following: Transfer Learning, Feature Extraction from deep network, k-NN

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