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https://github.com/ianchen0119/advanced-fpga-design

109-2 NTUT EE Course
https://github.com/ianchen0119/advanced-fpga-design

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109-2 NTUT EE Course

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# Advanced-FPGA-Design
> 109-2 NTUT EE Course

## Description

This course teaches FPGA programming, hardware system design, and how to implement and accelerate Deep Learning Algorithms on FPGA. The syllabus is shown below: 1. Xilinx & Vivado IDE 2. High-level Synthesis (HLS) & SystemC 3. Finite Impulse Response (FIR) Filters 4. Discrete Fourier Transform & Fast Fourier Transform 5. Matrix Multiplication 6. Prefix Sum and Histogram 7. Video Systems 8. Deep Learning Implementation on FPGA 9. Pruning & Quantization 10. Object Detection on FPGA.

[course website](https://aps.ntut.edu.tw/course/tw/Curr.jsp?format=-2&code=3604169)

[AIoTLab](http://www.aiotlab.org/teaching/fpga.html)

## Lab

[Lab0](https://github.com/ianchen0119/Advanced-FPGA-Design/tree/master/Lab0)