nnfs

This is a simple neural network using c++ language

Build, train, and test a neural network entirely from scratch

Code from the nnfs.io book written by Sentdex.

Inspired by Andrej Karpathy’s micrograd, this lecture builds a neural network from scratch, manually deriving gradients, automating backpropagation, and leveraging the TANH activation for nonlinearity. We bridge to PyTorch, demonstrating gradient descent’s power to minimize loss and reveal neural network fundamentals.

🧠 My first attempts with neural networks with the help of NNFS

Building Neural Networks from Scratch in raw Python

A personal neural network library in raw rust from scratch.

Why use PyTorch when you can implement Adam, backprop, and the Jacobian by hand and question every life choice? Full DL framework in pure NumPy.

This is my attemt at finally learning how to make a neural network from scratch, by following the youtube series by sentdex and i'm writing it in c and fortran as an excersice for myself

Hey! I am learning to build neural networks from scratch without the use of built-in Python libraries.

This model inputs sine data from the nnfs dataset and trains and outputs an estimation with a graph.

This model takes in 3 classes of Spiral data from the nnfs dataset, and categorizes each of them.

Working through the NNFS book.

An ML library based on the Neural Networks From Scratch book.

Implementação de rede neural

Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.

Neural Network from Scratch, written in Python and based on a video tutorial series by sentdex