Implementation of Karpathy's micrograd in Go.
-
Updated
Jun 24, 2024 - Go
Implementation of Karpathy's micrograd in Go.
Artificial Neural Network
Understanding and building a Neural Network from scratch
Minimal neural network toolkit in golang
Lossless is a Machine Learning library built for Golang, capable of handling MLPs, CNNs, and more soon.
Implementation of Andrej Karpathy's micrograd in Go
An embedded deep learning library for Go.
An artificial neural network builder and trainer. Can save network as JSON. No loader as of yet.
A machine learning library written in Go, based on the backpropagation learning algorithm. The basic structure represents an MLP network. After training, you can export the weights of the network in order to use it directly for predictions/classification.
This section explores a few of the problems (and solutions) to neural networks and backpropagation.
The backpropagation algorithm explained and demonstrated.
Multi-Layer Perceptron library in Golang & example using the MNIST Image Dataset
Modifiable neural network
Add a description, image, and links to the backpropagation topic page so that developers can more easily learn about it.
To associate your repository with the backpropagation topic, visit your repo's landing page and select "manage topics."