How to Put AI on an FPGA – Simple FFN (Part 5) скачать в хорошем качестве

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

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. ✅ Subscribe for weekly FPGA / Verilog projects as the course expands. 📺 Full Playlist:    • Advanced FPGA Course: Verilog Based Roboti...   💎 Unlock the Full Course Experience 💎 ✔ Extended lessons ✔ Worksheets + assignments ✔ Private Discord community ✔ Lifetime access to all updates 💻 Digital Editions (Instant Access + Discount): • 📗 Introduction to Verilog — 30% Off: https://buy.stripe.com/4gM28ta5c3rMdq... • 📘 Verilog-Based Robotics & Signal Processing — 50% Off: https://buy.stripe.com/7sY9AVa5c1jEdq... 📚 Physical Editions (Amazon): • 📗 Introduction to Verilog: https://www.amazon.com/dp/B0D92325VC • 📘 Verilog-Based Robotics & Signal Processing: https://www.amazon.com/dp/B0F7QVT2T8 🎓 Who This Course Is For • Electrical & Computer Engineering students • FPGA engineers seeking real project experience • Intermediate Verilog users ready for expert-level skills • Anyone preparing for a career in FPGA/ASIC hardware design ⏱️ Video Chapters 0:00 – Intro 1:11 – Old Design 1:54 – Design Upgrade 4:03 – CNN Research #FPGA #Verilog #PIDController #Artix7 #ControlSystems #ADC #SignalProcessing #DigitalDesign #Robotics