Biologically-Inspired and Machine Learning Algorithms written in Python
-
Updated
Jun 5, 2023 - Python
Biologically-Inspired and Machine Learning Algorithms written in Python
Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
Core neural networks framework supporting to build multilayer perceptron
chronic kidney disease detection using different neural network technique
Neural Network Based UAV Routing
A classifier to differentiate between Cat and Non-Cat Images
Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation
Self-define nn model and code ONLY BY numpy!!! Please star it~~
mnist data training and testing with back propagation
Popular predictive models and optimizers implemented in pure Python.
A solution to the 18th_MathModeling Contest
Code examples of neural networks (learning)
Python neural network built from scratch. Uses Machine Learning algorithms to correctly classify handwritten numbers into digits.
This repository contains codes of deep deducing playing Game of Life.
Implementation of a two-layer perceptron (from scratch) with four back-propagation methods in Python
Machine Learning Lab JNTUHUCESTH R-21
Solve a maze using back-propagation algorithm
Solution to the Traveling Tournament using simulated annealing
Code sample for backpropagation method of Neural Network without using specialized libraries.
Implement Back Propagation in deep neural network (DNN).
Add a description, image, and links to the back-propagation topic page so that developers can more easily learn about it.
To associate your repository with the back-propagation topic, visit your repo's landing page and select "manage topics."