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Pytorch Model in C++ using OnnxRuntime | C++ Advantage

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In this video, I'm going to walk you through a super cool project where we'll take a machine learning model trained in PyTorch, convert it to ONNX format, and then use it in a C++ application with ONNX Runtime and Raylib. If you've ever wondered how to bring your ML models into a C++ game or app, this is for you!
We'll start by training a simple PyTorch model and exporting it to ONNX. Then, we'll switch gears to C++ and set up ONNX Runtime to load and run our model. Finally, we'll use Raylib to create a fun and interactive interface that uses the model's predictions in real-time.
Whether you're into machine learning, game development, or just love combining different technologies, you'll find something interesting here. Let's dive in and see how it's done!
We'll start by training a simple PyTorch model and exporting it to ONNX. Then, we'll switch gears to C++ and set up ONNX Runtime to load and run our model. Finally, we'll use Raylib to create a fun and interactive interface that uses the model's predictions in real-time.
Whether you're into machine learning, game development, or just love combining different technologies, you'll find something interesting here. Let's dive in and see how it's done!