Wason1797/Nn-Learn-Lib
A simple Neural Network library made with the intent to learn about the basics of Machine Learning and AI
This library helps Python developers learn the foundational concepts of neural networks without complex frameworks. It provides basic neural network implementations like perceptrons and multi-layered perceptrons, allowing users to input data and visualize how these networks process information and learn. It's designed for aspiring machine learning engineers or computer science students eager to understand the inner workings of AI.
No commits in the last 6 months.
Use this if you are a Python developer or student who wants to grasp the fundamental mechanics of neural networks from the ground up, with clear, runnable examples and educational resources.
Not ideal if you need to solve complex, real-world machine learning problems or require a robust, production-ready neural network framework.
Stars
8
Forks
1
Language
Python
License
—
Category
Last pushed
May 26, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Wason1797/Nn-Learn-Lib"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
digantamisra98/Mish
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Sentdex/nnfs_book
Sample code from the Neural Networks from Scratch book.
itdxer/neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
vzhou842/cnn-from-scratch
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
nicklashansen/rnn_lstm_from_scratch
How to build RNNs and LSTMs from scratch with NumPy.