These tutorials provide a comprehensive overview of the fundamental principles and practical steps required to master the LEIP frameworks. These tutorials will assist both beginners and those looking to deepen their understanding.
Learn the basics -- installing LEIP, setting up your system, interacting with LEIP using the Python API and the different LEIP clients.
- Setting up your environment -- Learn how to set up a Python environment that can simultaneously access the Application and Compiler Frameworks.
Once you have the basics down, continue by using the Application Frameworks' recipes and the Compiler Frameworks' optimization components.
- Getting started with recipes -- Walk through the basics of optimizing and compiling your model for various targets. You'll use the Application Framework and Recipe Designer to explore, train, evaluate and export the model; you'll then use the Compiler Framework to further optimize and evaluate your model.
- Exploring the Golden Recipes -- Query, Explore and Selecting a Golden Recipe for you application and dataset.
- Executing Tasks -- Visualize your data, train a model, evaluate it, visualize its predictions, and export your model.
Learn how to integrate the LEIP frameworks with other MLOps frameworks and service providers such as AWS and Azure.
- AWS Sagemaker Integration -- Learn how to train and optimize a model using the LEIP framework and AWS Sagemaker.