mathspp/nnfwp
Neural Networks Fundamentals with Python – implementing neural networks from scratch
This project helps you understand and build neural networks from the ground up. You start with basic programming knowledge and finish with your own working neural network framework, which you can use to perform simple machine learning tasks. It is for anyone curious about the inner workings of AI, especially those who want a hands-on approach to learning machine learning concepts.
No commits in the last 6 months.
Use this if you want to learn how neural networks function by implementing them yourself, gaining a fundamental understanding of machine learning and deep learning concepts.
Not ideal if you need to quickly apply pre-built neural networks for complex real-world problems or are looking for a high-level library to integrate into existing applications.
Stars
18
Forks
5
Language
Python
License
MIT
Category
Last pushed
Apr 13, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mathspp/nnfwp"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
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.