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Comparison between different DL models such as VGGnet,InceptionV3,Resnet for copy move forgery detection
The project for NTU's course on Machine Learning, CZ4041
Using an External dataset to get the pre-trained weights of the NIH dataset and training on the provided dataset to detect the presence of pneumonia.
Improved Deep Learning Model has been used to classify Breast Cancer from Histopathological Tissue Images.
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
The project focuses on classifying brain tumors using the Multi-Modal Squeeze and Excitation Network.
IPython Notebook to build the model for Dog Breed Prediction
Development and analysis of various deep NN models to detect glaucoma cases from fundus images. The performance of the best model was evaluated with cross-validation. Mean F1-score: 0.95975, with a standard deviation of 0.02274.