It would be incredibly helpful if you could create a video tutorial or walkthrough on the FPGA implementation of a classification model, particularly focusing on the Naive Bayes Classifier. If you have any resources, such as Verilog code examples, design materials, or related documents, I would sincerely appreciate it if you could share them.

Awesome! This is very helpful and thank you, Prof. Dr. Marco Winzker!

Which software is used to automatically generate vhdl code professor

Amazing, I plan to implement on Max10 FPGA. Will the computational resources be sufficient?

Hi , I wanted to ask something Since the we will deploy the NN in FPGA to store th data persistency of the training and predicting shouldnt we convert the training images in a fixed point representation ?

Hi Doctor Can please suggest phd topic based on Vhdl research

Thank you Dr. Winzker! This video series has been very helpful for my self-learning!

Sir, I have a few question about machine learning on fpga , can I connect with you by using email ? Thank you , Sir

Very useful information...

Hello professor, I set NetworkStructure as [3 7 7 2] on Octave and ran the simulation and got wrong results, after debugging I found that octave was generating more number of Weight than needed, specifically is that with setting [3 7 7 2] , the correct number of Weight should is 100 but now it is 107. Dear Professor, please give me a suggestion regarding this problem

Dear proffesor, when increase the hidden layer, do we need to change the delay of the luminance level? I ran with two hidden layers, networkStructure is [3 7 7 2] and change connection[ ] to correspond to the output of NN but the result is not correct

useful information , best wishes brother

Sir can i get access to FPGA Vision Open -Online Course, i am from Tezpur University, Assam India

... молодцом.

You hit this one out of the park!! Well done, Thank you.

hello, can you send me the dataset folder you used for the shape recongnition application, please ?

SIr, Do you know how to access the biult in FPGA block RAM and store the text file?

Great video

sir why VHDL and not verilog? Any significant reason?

thank you sir the video that i am looking for

professor, is it fine if i change the raspberry Pi into my own laptop as the HDMI input? the result of the HDMI receiver software shows lots of read/write fails after i try it. What should i do?

Dear Sir I've compiled and started the lane detection and I'm experiencing a strange problem: The lane detection image it's partially displaced to the right. Also I tested with other images, and the resulting image it's only showing a half of the original image. The other half it's showing only white. Many thanks in advance.

thank you sir it is very useful

really amazing

Hi prof, please implement a neural network of xor in vhdl. Thank you.

Thanks sharing this tutorial. Please make more videos on explaining the code in detail and VHDL basics tutorial.

спасибо, хорошая работа

Very helpful video sir .

Hi Sir, I am working on image processing using de 10 fpga. The code provided in the description and comments section is not working. Kindly update it or share via google drive if possible. Thanks

hello sir im just asking can i compile a c code into fpga ??

thanks sir, can the code be assigned to the xilinx FPGA board?

Hi prof. Why do we approximate to the nearest power of 2

very interesting and thanks for publishing this stuff

thank you for your useful video.

Prof, It works fine with questa, but if we want to run on vivado, it did not work when run as it is, is there any changes to do or any ways to produce bitstream as our aim is to run on fpga

Have you deployed in fpga board? Is it safely feasible to transfer the whole model to fpga? Thanks professor

Is it possible to have this done by hls4ml without dealing directly with VHDL. Thank you professor for the great videos

Hello Prof., i would like to start working with DNN in FPGA, can you suggest me good latest board.

does this project works on spartan 6 sir

Hi, could you please recommend any books for real time image processing in VHDL for beginners?

Any specific reason for using matlab/octave and Quartus instead of Vivado?

amazing professor

pls send the source code

​ @marcowinzker3682 Hi Mr.Winzker, I am developing the implementation of image correction on camera feed and wanted to know what kind of FPGA approach would be adequate for changing the addresses (positions within the images) of pixels. Each pixel has an initial address and each pixel has a final address at which they should be displayed instead. Please let me know and thanks for the great videos. This is done at 30Hz with 1920x1080 resolution. Is such a thing even possible?

Your lecture is crucial to me because it's exactly what I have been doing! I have been studied SNNs for several months but I don't know much about FPGA. Can you tell me which kind of FPGA I need to buy in order to perform tasks in machine learning especially SNNs? Thanks for your wonderful lectures.

Awesome ! Thanks for publishing this.

thank you. Perfect!

These are great videos! I am really learning something. One Q about this specific one though... how should I understand your label file? You draw a box around the roadsign and black out everything outside, with which you tell the net that every pixel in the box is yellow, even if there are different shades of it. Then the R & G & B values of every pixel in the original file are used as training data. So, if everything goes well, the neural net, once trained, can tell for every set of RG&B values if it is a shade of yellow. Yet, in the label data, there is a black arrow and some black characters, which you label as a shade of yellow since they are in the box you draw. Yet, when applied to the image, the neural net indeed designates the pixels in the arrow as non-yellow. Did it manage to do that because it also learned from the regions outside the box? So, does that mean that the labeling of the pixels (your box) does not have to be perfect? Am I getting this all right?

Thank you, Professor.

Prof, thank you for putting up these work. Your channel is golden!