Projects in Awesome Lists tagged with backpropagation-algorithm
A curated list of projects in awesome lists tagged with backpropagation-algorithm .
https://github.com/sergio0694/neuralnetwork.net
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
ai backpropagation-algorithm classification-algorithims cnn convolutional-neural-networks csharp cuda gpu-acceleration gradient-descent machine-learning net-framework netstandard neural-network supervised-learning visual-studio
Last synced: 16 May 2025
https://github.com/Sergio0694/NeuralNetwork.NET
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
ai backpropagation-algorithm classification-algorithims cnn convolutional-neural-networks csharp cuda gpu-acceleration gradient-descent machine-learning net-framework netstandard neural-network supervised-learning visual-studio
Last synced: 02 Apr 2025
https://github.com/saschagrunert/nn
A tiny neural network ðŸ§
backpropagation backpropagation-algorithm haskell haskell-library machine-learning neural-network neural-networks
Last synced: 16 Mar 2025
https://github.com/nitin-rathi/hybrid-snn-conversion
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
ann-snn-conversion backpropagation-algorithm deep-learning pytorch snn spiking-neural-networks
Last synced: 01 May 2025
https://github.com/petrvacha/character-recognition-by-neural-network
Back Propagation, Python
backpropagation backpropagation-algorithm backpropagation-learning-algorithm handwriting-recognition neural-network
Last synced: 26 Oct 2025
https://github.com/ethanabrooks/computational-graph
Efficiently performs automatic differentiation on arbitrary functions. Basically a rudimentary version of Tensorflow.
algorithm backpropagation backpropagation-algorithm graph matrices
Last synced: 11 Apr 2025
https://github.com/timoflesch/iiccsss_intro2nnets
teaching material for my 2h graduate-level crash course on artificial neural networks
backpropagation-algorithm deeplearning gradient-descent teaching-material
Last synced: 20 Feb 2025
https://github.com/melchisedech333/xor-neural-network
🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.
artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks back-propagation backpropagation backpropagation-algorithm backpropagation-neural-network deep-learning feed-forward feed-forward-neural-networks feedforward-neural-network gradient-descent machine-learning neural-network neural-network-example neural-networks sigmoid-activation sigmoid-function xor-neural-network xor-problem
Last synced: 29 Mar 2025
https://github.com/mmz33/nn-from-scratch
Neural Network implementation with Numpy
backpropagation-algorithm deep-learning neural-networks
Last synced: 08 Aug 2025
https://github.com/harshpatel44/dynamic__neural_network
Machine Learning Assignments repository
backpropagation-algorithm deep-learning machine-learning neural-network python relu
Last synced: 21 Jul 2025
https://github.com/chanlumerico/autoprop
Auto Propagation System for Complex Neural Networks of Luma Python library
autograd-engine backpropagation-algorithm
Last synced: 27 Mar 2025
https://github.com/nugine/bpnn-rs
An implementation of BPNN in Rust
backpropagation-algorithm bpnn rust sgd
Last synced: 10 Jun 2025
https://github.com/gmongaras/visualizing_gradient_descent_for_bce_loss
Using only numpy in Python, a neural network with a forward and backward method is used to classify given points (x1, x2) to a color of red or blue.
ai backprop backpropagation backpropagation-algorithm backpropagation-learning-algorithm backpropagation-neural-network machine-learning machine-learning-algorithms neural-network python
Last synced: 25 Mar 2025
https://github.com/amhsirak/backpropagation
Backpropagation algorithm from scratch
artificial-neural-networks backpropagation-algorithm python
Last synced: 27 Oct 2025
https://github.com/agnivchtj/ann
Develop an Artificial Neural Network that can classify inputs based on a number of features
backpropagation-algorithm jupyter-notebooks python scikit-learn
Last synced: 15 Mar 2025
https://github.com/williamjardim/mlp-mini
A Multilayer Perceptron built in TypeScript from scratch.
backpropagation backpropagation-algorithm binaryclassification classification data-science deep-learning feedforward linear-regression logistic-regression machine-learning mlp multilayer-perceptron multilayer-perceptron-network neural-networks nonlinear-regression perceptron regression xor-problem
Last synced: 22 Jun 2025
https://github.com/zombietdv/cnn_and_beta-vae-
CNN and Beta-VAE implementation. Only Numpy as the main library.
automatic-differentiation backpropagation-algorithm beta-vae cnn deep-learning numpy optimization-algorithms
Last synced: 21 Mar 2025
https://github.com/parham1998/neural-network
Implementation of some simple Neural-Networks for binary classification with newff toolbox in Matlab
backpropagation-algorithm classification machine-learning matlab neural-network pattern-recognition theodoridis
Last synced: 12 Mar 2025
