The Number One Educational Resource for the Game Industry
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Overview:
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Neural networks are gaining attention due to their ability to solve difficult problems. But they are still not very often used to solve problems in real-time scenarios. The majority of practical examples are focused on image processing and very few examples focus on neural network inference in high-performance applications. In this presentation, the speaker will show practical examples of how to use neural networks in performance-critical code. The presentation will take a deep dive and show neural network training and inference without using any frameworks or math libraries. Instead, the talk is going to focus on bare metal C++ using a data-oriented approach and optimized SSE implementations.
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