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   ✨ Don't Miss Out: Subscribe to our channel for more electronics, supply chain, and industry content:    / @octopart   ⚙️ Check Out More Episodes of the CTRL+LISTEN Podcast:    • CTRL+LISTEN Podcast   ⚙️ Browse Octopart for Parts & Tech News: https://octopart.com/ ⚙️ TikTok:   / octopart_official   ⚙️ Instagram:   / octopart   #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 ~-~~-~~~-~~-~ Check Out Our Latest Upload: "AI-Powered Supply Chain: Luminovo's Sebastian Schaal Interview"    • AI-Powered Supply Chain: Luminovo's Sebast...   ~-~~-~~~-~~-~

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