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artificial-neural-network

Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

Here are 128 public repositories matching this topic...

casparwylie / Perceptron

A flexible artificial neural network builder to analyse performance, and optimise the best model.

python opencv machine-learning neural-network machine-learning-algorithms artificial-intelligence tkinter artificial-neural-network

Updated May 21, 2021
Python

quocviethere / Coursera-Machine-Learning-Specialization

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

tensorflow linear-regression supervised-learning xgboost logistic-regression gradient-descent decision-trees recommender-systems artificial-neural-network tree-ensembles

Updated Mar 27, 2023
Jupyter Notebook

olivia-ai / the-math-behind-a-neural-network

Mathematics paper recapitulating the calculus behind a neural network and its back propagation

machine-learning deep-learning neural-network math guide artificial-neural-network backpropagation forward-propagation

Updated May 21, 2020
TeX

aika-algorithm / aika

AIKA is a new type of artificial neural network designed to more closely mimic the behavior of a biological brain and to bridge the gap to classical AI. A key design decision in the Aika network is to conceptually separate the activations from their neurons, meaning that there are two separate graphs. One graph consisting of neurons and synapses…

recurrent-neural-networks artificial-neural-network nlp-machine-learning entropy-coding information-gain neural-symbolic-reasoning neuro-symbolic-learning neural-symbolic neuro-symbolic neural-symbolic-paradigm aika-network binding-signal binding-problem

Updated Oct 18, 2024
Java

harismuneer / Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Updated Dec 4, 2024
Python

CarsonScott / HSOM

Hierarchical self-organizing maps for unsupervised pattern recognition

Updated Dec 20, 2019
Python

TatevKaren / artificial-neural-network-business_case_study

Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)

data-science machine-learning deep-learning python3 artificial-neural-networks tensorflow-tutorials ann predictive-analytics artificial-neural-network case-study prediction-model churn-analysis ann-model bank-customers

Updated May 4, 2021
Python

Wind-Turbine-Control

borgestassio / Wind-Turbine-Control

Controllers designed to the 5MW NREL wind turbine using Simulink and Fast V8

fast controllers controller matlab state-space simulink feedback-loop pitch artificial-neural-network linearization nrel openfast wind-turbines 5mw-nrel-controllers 5mw fastv8

Updated Dec 2, 2022
Fortran

ahmedfgad / KivyAndroidClassification

Image Classification for Android using Artificial Neural Network using NumPy and Kivy.

android python machine-learning neural-network numpy genetic-algorithm pillow kivy feature-extraction classification feature-engineering artificial-neural-network buildozer python-for-android

Updated Jul 9, 2024
Python

TheKidPadra / DeepLearning.AI-Deep-Learning-Specialization

This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI

deep-learning tensorflow transformers coursera assignment python-programming convolutional-neural-network artificial-neural-network backpropagation hyperparameter-tuning andrew-ng specialization recurrent-neural-network deeplearning-ai mathematical-optimization inductive-transfer neural-network-architecture

Updated Feb 23, 2024
Jupyter Notebook

raymelon / TrafficLightNeuralNetwork

🚥 An Artificial Neural Network based Traffic Light Controller for intersections. Computational Intelligence class final project.

c-sharp machine-learning neural-network traffic neural-networks artificial-neural-networks neurons intersection artficial-intelligence ann artificial-neural-network neural-network-example neural-nets computational-intelligence traffic-light traffic-light-controller ann-architecture

Updated Jul 7, 2021
C#

Rober-t / apxr_run

A topology and parameter evolving universal learning network.

machine-learning erlang elixir neuroevolution artificial-intelligence evolutionary-algorithm artificial-neural-network evolutionary-robotics agent-based-simulation

Updated Jul 30, 2019
Erlang

kb22 / Purchasing-Intention-Prediction

The project trains an Artificial Neural Network which can predict whether a visitor will generate revenue for the company or not.

python machine-learning deep-learning neural-networks artificial-neural-network

Updated May 13, 2019
Jupyter Notebook

horrible-dong / DNRT

[ICLR 2024] Dynamic Neural Response Tuning

machine-learning deep-learning neuronal ann artificial-neural-network iclr artificial-neuron activation-function neural-representation dynamic-tuning information-aggregation neural-response iclr2024 biological-neuron information-transmission

Updated Nov 9, 2024
Python

SahibzadaSalman / Machine-Learning-with-Python

This repository contains a gentle introduction to machine learning algorithms with hands on practical examples

python machine-learning clustering linear-regression machine-learning-algorithms regression naive-bayes-classifier supervised-learning logistic-regression titanic gradient-descent artificial-neural-network kmeans-clustering iris-dataset unsupervised-machine-learning machinelearning-python costfunction statistics-for-data-science

Updated Aug 28, 2022
Jupyter Notebook

ches-001 / Binary-Segmentation-Network-for-Tumor-Detection-in-MRIs

An approach to tumor detection and segmentation via encoder decoder artificial neural network architecture

artificial-neural-network semantic-segmentation tumor-segmentation binary-segmentation computer-vision-algorithm

Updated Sep 14, 2022
Jupyter Notebook

w4nderlust / cppn-tensorflow

Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow

deep-neural-networks deep-learning tensorflow artificial-intelligence generative-art artificial-neural-network cppn

Updated Nov 27, 2019
Python

davideiacobs / -Movie-Genres-Classification-from-their-Poster-Image-using-CNNs

python machine-learning keras ml cnn artificial-intelligence classification artificial-neural-network classification-algorithm convolutional-neural-nets

Updated Feb 28, 2019
HTML

aiFi

oservo / aiFi

A Multi Layer Perceptron (MLP) Artificial Neural Network (ANN) Framework Developed in C for Machine Learning (ML) and Deep Learning (DL)

c machine-learning ai deep-learning ml artificial-intelligence mlp ann dl multi-layer-perceptron artificial-neural-network

Updated Feb 27, 2023
C

akinokoika / ANN-recognize-number

Numpy实现的ANN识别手写数字mnist数据集

deep-learning mnist hello-world artificial-neural-network dearpygui

Updated Feb 1, 2021
Python

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