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README.md

README.md

 
 

alexnet.ipynb

alexnet.ipynb

 
 

densenet_model.ipynb

densenet_model.ipynb

 
 

inception_model.ipynb

inception_model.ipynb

 
 

resnet_model.ipynb

resnet_model.ipynb

 
 

siamese_model.ipynb

siamese_model.ipynb

 
 

squeezenet_model.ipynb

squeezenet_model.ipynb

 
 

submission.csv

submission.csv

 
 

submission_alexnet.csv

submission_alexnet.csv

 
 

submission_resnet18.csv

submission_resnet18.csv

 
 

submission_resnet_2.csv

submission_resnet_2.csv

 
 

submission_vgg.csv

submission_vgg.csv

 
 

vgg_model.ipynb

vgg_model.ipynb

 
 

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Whale-Humpback-Identification-Challenge

Implemented ResNet, AlexNet, VGG and Siamese using PyTorch in Jupyter Notebooks to predict whale species from images of their tail

Used data augmentation techniques to make dataset more balanced by using upsampling methods

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Implemented ResNet, AlexNet, VGG and Siamese Networks

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