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GitHub / AB00k / 5-Deep_Learnig-Assignment-MNIST-dataset-pytorch-basics

This is a comprehensive assignment to build a classifier in pytorch on famous MNIST dataset and is perfect to get basic understanding of pytorch like pytorch training and validation loops and dataset class in pytorch and dataloaders etc

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AB00k%2F5-Deep_Learnig-Assignment-MNIST-dataset-pytorch-basics

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 22 MB
Dependencies parsed at: Pending

Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago

Topics: deep-learning, pytorch-dataloader, pytorch-dataset, pytorch-implementation, pytorch-test-loop, pytorch-training, pytorch-tutorial, pytorch-validation

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