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GitHub / dentitoreto / Learning-PyTorch-workflow-with-optuna-and-wandb-for-image-classification-

This repo contains 3 notebooks for implementing PyTorch workflow for simple image classification problem. It contains basic machine learning project flow and also gets improved by using machine learning platforms like Weights & Biases and Optuna. Dataset that is used in CIFAR10. Model is pretrained ResNet18 neural network.

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PURL: pkg:github/dentitoreto/Learning-PyTorch-workflow-with-optuna-and-wandb-for-image-classification-

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 195 KB
Dependencies parsed at: Pending

Created at: about 2 months ago
Updated at: about 2 months ago
Pushed at: about 2 months ago
Last synced at: about 2 months ago

Topics: cifar10, imageclassification, loss-functions, machine-learning, optuna, python, pytorch, weights-and-biases

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