How to Build a Neural Network on an FPGA

In this tutorial, join Ari Mahpour as he explores the fascinating task of deploying neural networks on the PYNQ-Z2 FPGA board. Learn step-by-step how to train an iris classification model using the powerful hls4ml framework and validate it against both local and FPGA models.

*What You Will Learn:*
Setting up your PYNQ-Z2 board for AI deployment
Training and optimizing neural networks for FPGA
Leveraging the hls4ml repository for seamless FPGA integration
Comparing performance between CPU/GPU and FPGA models

*Resources Mentioned:*
hls4ml Repository: https://github.com/fastmachinelearnin...
Iris Model on FPGAs GitLab: https://gitlab.com/ai-examples/iris-m...

For more of Ari's Neural Network Series, click here:    • Neural Network Series  

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#NeuralNetwork #FPGA #ai

0:00 Intro
0:43 A Note before We Begin
3:17 Dataset Overview
8:04 Building the Model & Flash File
21:18 Running & Validating the Model
31:59 Wrapping Up

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