alvarobartt/ml-monitoring-with-wandb
:detective::robot: Monitoring a PyTorch Lightning CNN with Weights & Biases
This project helps machine learning engineers monitor the training of their deep learning models. It shows how to integrate image datasets and a PyTorch Convolutional Neural Network (CNN) with Weights & Biases for experiment tracking. The input is a dataset of images, and the output is a trained model along with detailed logs of its performance metrics like loss and accuracy during training.
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Use this if you are a machine learning engineer or researcher training PyTorch models and want to efficiently track and visualize your model's performance and training progress.
Not ideal if you are looking for a complete, production-ready solution for model deployment or an extensive guide on advanced PyTorch Lightning features.
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Jupyter Notebook
License
MIT
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Last pushed
Jul 26, 2021
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