Description
PyTorch is a great way to express the essential properties of a deep learning model, such as the model architecture, which optimizer to use, how to load data, and the training loop. But achieving…
Summary
- Focus on building models, not managing infrastructure PyTorch is a great way to express the essential properties of a deep learning model, such as the model architecture, which optimizer to use, how to load data, and the training loop.
- This separation of model definition from training code has grown in popularity over the years, with other tools like PyTorch Ignite or PyTorch Lightning providing similar APIs to PyTorchTrial API.
- Once an experiment is submitted, Determined handles the engineering challenges that arise for deep learning training.