gokadin/ai-simplest-network
An educational Go implementation demonstrating the simplest possible artificial neural network with gradient descent.
Not currently ranked — collecting fresh signals.
star history
This repository provides a hands-on tutorial implementation of the most basic form of an artificial neural network (perceptron) in Go. It walks through core concepts including neuron modeling, weight adjustment, error calculation, and the gradient descent optimization algorithm. The project is structured as part 1 of a multi-part educational series covering neural network fundamentals.
Frequently asked
- What is gokadin/ai-simplest-network?
- An educational Go implementation demonstrating the simplest possible artificial neural network with gradient descent.
- Is ai-simplest-network open source?
- Yes — gokadin/ai-simplest-network is an open-source project tracked on heatdrop.
- What language is ai-simplest-network written in?
- gokadin/ai-simplest-network is primarily written in Go.
- How popular is ai-simplest-network?
- gokadin/ai-simplest-network has 400 stars on GitHub.
- Where can I find ai-simplest-network?
- gokadin/ai-simplest-network is on GitHub at https://github.com/gokadin/ai-simplest-network.