A resource-conscious neural network implementation for MCUs
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Updated
Jun 28, 2024 - C++
A resource-conscious neural network implementation for MCUs
a simple neural network
3-layer feed-forward neural network using back-propagation to recognize MNIST digits
Multi-layered Convolutional Neural Network written in C++11
Handwritten digit recognition demo
Personal Project to better my understanding of neural networks by writing one from scratch
Machine Learning tool for handwritten digit recognition powered by a custom dynamic feed forward neural network written completely from scratch in C++ and CUDA
Include c++ code which extract MNIST handwritten digit images from binary into OpenCV mat type.
Distributed 3-Layer Neural Network for MNIST Handwriting Recognition with CUDA
This is a project where KNN is performed using C++,KNN being K's Nearest Neighbors
Extensible neural network class with backpropagation learning, tested on MNIST dataset
🧠 DIY neural network for digit recognition
Neural network for recognizing MNIST handwritten digits
A simple handwritten digit classifier NN implemented from scratch in C++.
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