Відео

The video lecture demonstrates the complete design flow for the video lecture on FPGA implementation of a machine learning application. The application is color detection in video signals and is intended as an educational example. 0:00 Introduction 1:40 Installing the software 5:39 Code download from Github 7:48 Training with Octave 12:40 Simulation with Questa/Modelsim 14:42 Setting up simulat...

Lecture 3. Remote Lecture on design and FPGA implementation of a spiking neural network (SNN). Project page with access to the remote lab: www.h-brs.de/de/fpga-vision-lab Source code available at: github.com/Marco-Winzker/Spiking_NN_RGB_FPGA

Lecture 2. Remote Lecture on design and FPGA implementation of a spiking neural network (SNN). Project page with access to the remote lab: www.h-brs.de/de/fpga-vision-lab Source code available at: github.com/Marco-Winzker/Spiking_NN_RGB_FPGA

Lecture 1. Remote Lecture on design and FPGA implementation of a spiking neural network (SNN). Project page with access to the remote lab: www.h-brs.de/de/fpga-vision-lab Source code available at: github.com/Marco-Winzker/Spiking_NN_RGB_FPGA

Video 5. Lecture Series on Neural Network for Pattern Recognition on an FPGA Lecture 5 of a project to implement a neural network for pattern recognition on an FPGA. Video lectures explain training of the network and FPGA implementation with VHDL. Project Homepage: www.h-brs.de/fpga-vision-lab Source files available on GitHub: github.com/Marco-Winzker/NN_Pattern_FPGA Please note: Typo at minute...

Video 4. Lecture Series on Neural Network for Pattern Recognition on an FPGA Lecture 4 of a project to implement a neural network for pattern recognition on an FPGA. Video lectures explain training of the network and FPGA implementation with VHDL. Project Homepage: www.h-brs.de/fpga-vision-lab Source files available on GitHub: github.com/Marco-Winzker/NN_Pattern_FPGA

Video 3. Lecture Series on Neural Network for Pattern Recognition on an FPGA Lecture 3 of a project to implement a neural network for pattern recognition on an FPGA. Video lectures explain training of the network and FPGA implementation with VHDL. Project Homepage: www.h-brs.de/fpga-vision-lab Source files available on GitHub: github.com/Marco-Winzker/NN_Pattern_FPGA

Video 2. Lecture Series on Neural Network for Pattern Recognition on an FPGA Lecture 2 of a project to implement a neural network for pattern recognition on an FPGA. Video lectures explain training of the network and FPGA implementation with VHDL. Project Homepage: www.h-brs.de/fpga-vision-lab Source files available on GitHub: github.com/Marco-Winzker/NN_Pattern_FPGA

Video 1. Lecture Series on Neural Network for Pattern Recognition on an FPGA Lecture 1 of a project to implement a neural network for pattern recognition on an FPGA. Video lectures explain training of the network and FPGA implementation with VHDL. Project Homepage: www.h-brs.de/fpga-vision-lab Source files available on GitHub: github.com/Marco-Winzker/NN_Pattern_FPGA

At IEEE Educon 2021 we will present research about use of quizzes in university education. Due to Covid-19 we can not travel, but this does not hinder us from exchanging ideas with our colleagues from IEEE region 8, Europe, Middle East, Africa, and from around the world. We hope to see you online April 21st-23rd, 2021: www.educon-conference.org/current/ #educon21 Research was partly funded by Q...

This lecture video covers high-level design of machine learning algorithms for FPGA implementation. Now, at the beginning of the year 2021 these frameworks are still in development. But in the future they will be a good choice for the design of FPGAs. Therefore, this video gives you a demonstration of such a framework.

This video is part of the lecture series about implementing a small neural network on an FPGA. It explains the FPGA implementation of the sigmoid function as ROM. And it gives you ideas about exercises, so that you can make experiments with the sigmoid implementation. Project Homepage: www.h-brs.de/fpga-vision-lab Source Code available at: github.com/Marco-Winzker/NN_RGB_FPGA

Several lecture videos show how to implement a small neural network on an FPGA. This video gives you ideas about exercises, so that you can work with the design. Project Homepage: www.h-brs.de/fpga-vision-lab Source Code available at: github.com/Marco-Winzker/NN_RGB_FPGA

We introduce video streaming as a new feature in our remote lab. Demonstration of this option is done with the machine learning implementation for detecting colors. Project Homepage: www.h-brs.de/fpga-vision-lab

Improving First-Year Teaching with Project-Based Learning and Support of STEM Modules

Machine Learning on FPGAs: Advanced VHDL Implementation

Machine Learning on FPGAs: Circuit Architecture and FPGA Implementation

Machine Learning on FPGAs: Training the Neural Network

Machine Learning on FPGAs: Introduction

dghd2020 - Analyse digitaler Lehrangebote durch Auswertung von Nutzungsdaten

FPGA FIR Filter: Tasks for Experiments

FPGA FIR Filter: Self-Checking Testbench

FPGA FIR Filter: Verification with VHDL Testbench

FPGA FIR Filter: Circuit Architecture and VHDL Design

FPGA FIR Filter: Application and Algorithm

FPGA Vision - State of the Remote Lab 2019

Image Generator for DE10-Lite FPGA Evaluation Board

Digitaltechnik - VHDL-Simulation mit ModelSim

Digitaltechnik - Moore-Automat zur Entprellung