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Learn how to train your own neural networks and explore the fundamental concepts behind machine learning. This intermediate to advanced course combines theory with practical exercises, introducing essential terminology, training principles, and the ML Train Regression TOP for building models using your own data. You’ll also explore how to prepare training data, understand and troubleshoot the training process, and work with PyTorch and ONNX to train and deploy models. This course provides a practical foundation for understanding Houdini’s machine learning tools and applying them to procedural workflows, without requiring advanced mathematical knowledge.