Tutorials#
Quickstart#
If you are new to Determined, visit the Quickstart for Model Developers where you’ll learn how to perform the following tasks:
Train on a local, single CPU or GPU.
Run a distributed training job on multiple GPUs.
Use hyperparameter tuning.
Get Started with a Trial API#
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Description |
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Based on the PyTorch MNIST example, this tutorial shows you how to port a simple image classification model for the MNIST dataset. |
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The TensorFlow Keras Fashion MNIST tutorial describes how to
port a |
Train Your Model in Determined#
Training API Guides include the Core API User Guide and walk you through how to take your existing model code and train your model in Determined.
Examples#
Examples let you build off of an existing model that already runs on Determined. Visit our Examples to see if the model you’d like to train is already available.