Neural Networks on FPGA: Part 8: Generating weights, biases and test data

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Vipin Kizheppatt

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Thank you sir, i've learnt a lot from your tutorial series! :)

reubengoh

I am lost here. Why do we change from vivado ( verilog ) design to python? Shouldn't we compare the amount of time, data sample size, amount of resources used all inside vivado simulation results? What is the purpose for using python here?
Thanks in advance.

xuezhizhang

sir can we used this model to our data.

rajveerlalawat

Hello Sir, this is undoubtedly the best tutorial I have ever seen for FPGA application of Neural Network... I need one help... I was trying to build my own neural network for an image processing application... I have my own training and testing images... but I don't know how to use those images to train the network... how can I format those images to make a dataset like MNIST? Your Python code loads the MNIST data set and use it.... your code has been written in such a way that it can handle the MNIST zip file... how can I use my images? Please answer me... it will be a great help... thanks a lot

md.saifulislam

hi, thanks for the good tutorial, I have a problem, I want to simulate this code with ModelSim from vivado, so I change target simulator to modelsim and launch all libraries needed but when I run simulation nothing happen and in the tcl console just showed these errors:
Error: Cannot find `include file "..rtlinclude.v" in directories:
# C:/modeltech64_2019.4/ovm-2.1.2/../verilog_src/ovm-2.1.2/src,
# ** Error: (vlog-2163) Macro `dataWidth is undefined.
Error: failed.

would you mind help me, I don't know why these happen?

anahitahosseinkhani

Neural Networks on FPGA: Part 8: Generating weights, biases and test data

Neural Networks on FPGA: Part 1 :Introduction

Neural Networks on FPGA: Part 1: Introduction

Neural Networks on FPGA: Part 2: Designing a Neuron

Neural Networks on FPGA: Part 6: Hardware wrap up

Spiking Neural Network on FPGA - Introduction and Overview

Live Demo : Implementation of Spiking Neural network on distributed FPGA platform

Neural Networks on FPGA: Part 10: Automatic Generation of Neural Networks for FPGAs

2D Convolutional Neural Network on FPGA for High-Resolution TPC Images

Spiking Neural Network on FPGA - FPGA Implementation

Neural Networks on FPGA: Part 5: Designing the Layers

Neural Networks on FPGA: Part 9: Generating weights, biases and test data from TensorFlow

Neural Networks on FPGA: Part 4: Which one is better? ReLU or Sigmoid

Sound Recognition on ECPIX-5 with FPGA MFCC + Neural Network Accelerator

Neural Networks on FPGA: Part 3: Activation Functions

Open-Source Tools for Neural Network Inference on FPGAs

LeFlow - MNIST Classification with FPGA

Hardware acceleration of CNN on FPGA using opencl - part2

Machine Learning on FPGAs: Demonstration of HLS4ML Framework

Accelerating ODE-Based Neural Networks on Low-Cost FPGAs - H. Watanabe

Spiking Neural Network on FPGA - Training and Normalization

Neural Networks on FPGA: Part 11: Hardware Validation

Use MATLAB to Prototype Deep Learning on an Intel FPGA

Feedforward Neural Network architecture in FPGA applied to digits recognition

What's an FPGA?