https://github.com/avd1729/xception

Flower image classification using Transfer learning (Xception)

transfer-learning xception-net

Last synced: 20 Feb 2025

https://github.com/parham1998/cnn_image_annotaion

Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library

asymmetric-loss binary-crossentropy convolutional-neural-networks corel-5k deep-neural-networks focal-loss image-annotation matthews-correlation-coefficient multilabel-classification pairwise-ranking pytorch resnet101 resnext tresnet xception-net

Last synced: 12 Mar 2025

https://github.com/afrid1045/brain-tumor-severity-prediction-using-multi-modal-squeeze-and-excitation-network

classification deep-learning deep-neural-networks inceptionv2 jupyter-notebook multimodal-deep-learning python squeeze-and-excitation-networks tensorflow transfer-learning xception-net

Last synced: 06 Apr 2025

https://github.com/achraf-oujjir/xception-on-ham10k

In this project, we used a transfer learning approach to build an image classification model for the classification of skin lesion, we trained our model specifically on the ham10000 dataset available on kaggle and we were able to achieve a 93.6% accuracy

cnn computer-vision data-science deep-learning ham10000 jupyter-notebook kaggle python skin-lesion-classification transfer-learning xception-net

Last synced: 26 Feb 2025

https://github.com/pranav-nagpure/dog-breed-prediction-nb

IPython Notebook to build the model for Dog Breed Prediction

ipython-notebook keras-tensorflow machine-learning scikit-learn transfer-learning xception-net

Last synced: 01 Mar 2025