How to Put AI on an FPGA – Simple FFN (Part 5)

Описание: In this video, we wrap up the AI-on-FPGA series by stepping back and talking about what comes next. We explain how the Artix-7 feed-forward neural network can be expanded into a dissertation-level research topic by redesigning the memory and compute architecture for higher throughput. Then we introduce the direction of my current Ph.D. research: CNN acceleration. We cover the basics of tensors and convolutions, and explain why CNN hardware is dominated by data movement—motivating the need for custom memory layouts and deterministic address generators on real FPGA BRAMs.

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