Learning Machine Learning with .NET, PyTorch and the ONNX Runtime

Overview

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Explore machine learning with .NET, PyTorch, and ONNX Runtime in this informative 28-minute video from Microsoft. Gain insights into training models using PyTorch in Python, understanding prediction accuracy and loss, and leveraging the ONNX format for cross-framework compatibility. Learn how to consume ONNX models in .NET applications, discover the integration of ML.NET with ONNX, and understand its industry applications. Follow along as Seth Juarez demonstrates the process of training a model, explains key machine learning concepts, and showcases the power of ONNX for maximizing hardware optimization investments across different frameworks and tools.

Syllabus

] - Brief overview of training a machine learning model.
] - PyTorch training in Python.
] - Understanding accuracy and loss.
] - What is ONNX ?.
] - Consuming model with ONNX in .NET.
] - ML .NET and ONNX.
] - Industry usage.