Topic: xception-net Goto Github
Some thing interesting about xception-net
Some thing interesting about xception-net
xception-net,This repository hosts the Cervical Cancer Image Classification project, a comprehensive effort aimed at improving the classification accuracy of Squamous Cell Carcinoma (SCC) through advanced deep learning models and ensemble techniques. The project utilizes the Herlev dataset.
User: aditya1jhaveri
xception-net,The project focuses on classifying brain tumors using the Multi-Modal Squeeze and Excitation Network.
User: afrid1045
xception-net,Flower image classification using Transfer learning (Xception)
User: avd1729
xception-net,Improved Deep Learning Model has been used to classify Breast Cancer from Histopathological Tissue Images.
User: farhan1503001
xception-net,Comparison between different DL models such as VGGnet,InceptionV3,Resnet for copy move forgery detection
User: farhan1503001
xception-net,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.
User: hrsht-13
xception-net,Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
User: parham1998
xception-net,IPython Notebook to build the model for Dog Breed Prediction
User: pranav-nagpure
xception-net,The project for NTU's course on Machine Learning, CZ4041
User: raghavm1
xception-net,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.
User: venn1998
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