01Deep Learning Case 7 – Testbench Development and CNN Simulation Testing Based on FPGA
This document provides a detailed introduction to the simulation testing process of a CNN convolutional neural network based on FPGA, including the use of software version Vivado 2019.2, the development of the CNN simulation testbench, and the analysis of simulation results. Through the demonstration of 3×3 data convolution, ReLU activation, and pooling layers, the basic working principles of CNN on FPGA are revealed. It is noted that this series of tutorials serves as an introduction, covering only simple CNN structures, with plans to explore more complex algorithm models and target classification applications in future installments.
02Subscription link for FPGA Introduction 100 Examples:
https://blog.csdn.net/ccsss22/article/details/121877028?spm=1001.2014.3001.5502
*
FPGA/MATLAB/Simulink Tutorials
The author has been engaged in MATLAB algorithm simulation for 15 years and FPGA system development for over 12 years. They specialize in solving various algorithm simulations, modeling, communication, image processing, AI, and intelligent control. The author has written several tutorials on CSDN blog over the years, currently compiling four volumes of FPGA/MATLAB/Simulink learning tutorials. Interested students and friends can click the article link below for more details.
The MATLAB Introduction 100 Examples tutorial covers ten commonly used fields, including communication algorithm simulation, optimization algorithm simulation, image algorithm simulation, speech signal processing algorithm simulation, 3D reconstruction algorithm simulation, network algorithm simulation, numerical simulation algorithm simulation, control algorithm simulation, artificial intelligence algorithm simulation, and other fields. It meets the needs of most users.
The FPGA Introduction 100 Examples tutorial, using Xilinx FPGA as an example and the Vivado development platform, introduces 100 small examples of FPGA development from simple to complex. It covers various aspects such as communication, image, speech, control, artificial intelligence, interfaces, memory, encryption/decryption, and hardware debugging, fully satisfying the learning needs of friends.
The Simulink Introduction 60 Examples tutorial includes conventional mathematical formula modeling, communication and signal processing modeling, control modeling, image and video algorithm modeling, and power system modeling. It meets the needs of most users learning the basics of Simulink.
The FPGA/MATLAB/Simulink Joint Application Development Introduction and Advanced X Examples tutorial delves into more complex cases from communication, image, speech, control, artificial intelligence, interfaces, memory, encryption/decryption, and hardware debugging, reinforcing the knowledge learned in the introductory tutorials. Due to the involvement of various specialties, users can choose any chapter based on their actual needs for individual subscription learning.
【Click the bottom left corner “Read the original text” to view the tutorial introduction】
