casparwylie/Perceptron
A flexible artificial neural network builder to analyse performance, and optimise the best model.
This software helps you design, test, and compare different artificial neural networks. You can input various network parameters and data, and it will show you how different configurations impact performance. It's ideal for students, researchers, or anyone new to machine learning who wants to understand how ANNs work.
415 stars. No commits in the last 6 months.
Use this if you are learning about artificial neural networks and want a visual, free tool to experiment with different parameters and see their effects.
Not ideal if you need a robust, production-ready tool for building complex neural networks with large datasets, as it's primarily for educational exploration.
Stars
415
Forks
38
Language
Python
License
—
Category
Last pushed
May 21, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/casparwylie/Perceptron"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
TronixLab/Neurona-rgbClassifier
An easy guide for Color classification (RGB) using Multilayer Perceptron (MLP) Neural Networks...
Devignitor/Single-neuron-model-Simple-Neural-Network
Single-neuron model trained by gradient descent. It is the most fundamental simple neural network.
sushantPatrikar/XOR-Gate-With-Neural-Network-Using-Numpy
XOR gate which predicts the output using Neural Network :fire:
pasqal-io/perceptrain
Machine learning training, simplified, at scale
devleo-m/ia-perceptron
Basic implementation of a Perceptron in Python. The Perceptron is trained with input data,...