Multi-language Analyze text in 26 Cantonal Swiss German, Italian, German, Chinese (simplified), French, Italian. pply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.

Backpropagation Neural Network for Multivariate Time Series Forecasting (multi input single output: 2 inputs and 1 output)

Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.

In this repo, the backpropagation algorithm in feedforward neural networks is implemented from scratch using C.

Neural Network in pure PHP

Step by Step Math Behind Multilayer Perceptron Neural Networks Backpropagation with Manual Code Python and Excel For Detecting Potential Obesity

Back propagation algorithm to predict the weather condition(Sunny, Cold, Cloud, Rainy)

A simple neural network with backpropagation used to recognize ASCII coded characters

IMPLEMENTATION OF BACKPROPAGATION ARTIFICIAL NEURAL NETWORK ALGORITHM PREDICTING STOCK PRICE PT SMARTFREN TELECOM TBK

BP neutral network for handwritten numeral recognition in MNIST

This is a Feed-Forward Neural Network with back-propagation written in C++ from scratch with no external libraries.

artificial neural network.

Multilayer Neural Network from Scratch.

Creating a basic NN from scratch to detect numbers from the MNIST dataset using Numpy

🤖 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.

This repository contains the files for the first assignment of the course CS6910 - Deep Learning at IIT Madras.

basic neural network implemetation by maths, with back prop

Neural networks for binary and multiple classification from scratch (using only numpy arrays) in Python

Data Science Course Project 2024 - UNIVERSITAS MARITIM RAJA ALI HAJI FAKULTAS TEKNIK DAN TEKNOLOGI KEMARITIMAN PROGRAM STUDI TEKNIK INFORMATIKA

Machine Learning Projects

This algorithm is a backpropagation developed using Python

application of neural networks

Character-level Long Short Term Memory Recurrent Neural Network implemented from scratch in Python

Iris Image Recognition Using Hybrid Backpropagation Neural Network and Bat Algorithm

A pure implemention of BackPropagating artificial neutral net

Backpropagation in neural networks

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.

There are three intelligent system projects, including evolutionary computation, fuzzy system and backpropagation neural networks

Backpropagation and automatic differentiation, and grid search from scratch.

MNIST Predictor using Neural Network (no TF/PyTorch, just NumPy)