How to Put AI on an FPGA – Simple FFN (Part 3)

In this video, we implement an entire layer of a feed-forward neural network by reusing the exact same hardware from the single-neuron design. The key idea is that a layer is just the same neuron calculation repeated multiple times, one time per neuron, with different weights and biases each time.

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⏱️ Video Chapters
0:00 – Intro
1:00 – Promotion
1:39 – Last Video Recap
2:45 – Layer Calculator Module
6:39 – Pulse Generator Module

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