Lightning fast C++/CUDA neural network framework
-
Updated
Jul 31, 2024 - C++
Lightning fast C++/CUDA neural network framework
A resource-conscious neural network implementation for MCUs
Vulkan Implementation of NVIDIA's paper Real-time Neural Radiance Caching for Path Tracing.
learning to develop lightning fast C++/CUDA neural network
Nebula: Lightweight Neural Network Benchmarks
Neural Networks Templates Library
This project contains many topics inside. Please check the video link below for details
Include c++ code which extract MNIST handwritten digit images from binary into OpenCV mat type.
This repository consists of codes regarding different neural network algorithom implementation.
Lemire's testingmlp but for Windows
Multilayer Perceptron C++/Qt implementation
simple mlp written in c++
Training diverse kind of neural nets architectures with C++
MultilayerPerceptron Project is a C++ implementation of a multilayer perceptron capable of classifying handwritten Latin alphabet images with 2 to 5 hidden layers. Built with the MVC pattern and Qt library, it requires C++17, CMake, Qt5 Widgets/Charts, and Google Test library. The program can be customized and features options.
Simple multilayer perceptron c++ implementation.
A parallel implementation of an MLP used to recognize characters regardless of the font it is written in.
This is the implementation of a simulator that classifies 2D data into two classes or multi-classes using a multi-layer perceptron (MLP). It was developed using Visual C++ and it can be used for learning and understanding Artificial Neural Network concepts.
this is just a simple c++ linear algebra program in c++
Add a description, image, and links to the mlp topic page so that developers can more easily learn about it.
To associate your repository with the mlp topic, visit your repo's landing page and select "manage topics."