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artificial-neural-network

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

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aika-algorithm / aika-java

Star 79

AIKA (Artificial Intelligence for Knowledge Acquisition) is an innovative approach to neural network design, diverging from traditional architectures that rely heavily on rigid matrix and vector operations. The AIKA Project introduces a flexible, sparse, and non-layered network representation, derived from a type hierarchy.

artificial-neural-network information-gain neural-symbolic-reasoning neuro-symbolic-learning neural-symbolic neuro-symbolic neural-symbolic-paradigm aika-network binding-signal binding-problem
  • Updated Aug 8, 2025
  • Java

aika-algorithm / aika-java

Star 79

AIKA (Artificial Intelligence for Knowledge Acquisition) is an innovative approach to neural network design, diverging from traditional architectures that rely heavily on rigid matrix and vector operations. The AIKA Project introduces a flexible, sparse, and non-layered network representation, derived from a type hierarchy.

artificial-neural-network information-gain neural-symbolic-reasoning neuro-symbolic-learning neural-symbolic neuro-symbolic neural-symbolic-paradigm aika-network binding-signal binding-problem
  • Updated Aug 8, 2025
  • Java

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

Star 63

🏆 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.

svm machine-learning-algorithms mnist-dataset logistic-regression support-vector-machines knn artificial-neural-network handwritten-digit-recognition k-nearest-neighbours supervised-machine-learning support-vector-classifier perceptron-learning-algorithm sigmoid-function delta-rule mnist-classification-logistic comparative-study multiclass-perceptron learning-algorithms-comparison accuracy-analysis efficiency-analysis
  • Updated Jan 30, 2025
  • Python

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

Star 63

🏆 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.

svm machine-learning-algorithms mnist-dataset logistic-regression support-vector-machines knn artificial-neural-network handwritten-digit-recognition k-nearest-neighbours supervised-machine-learning support-vector-classifier perceptron-learning-algorithm sigmoid-function delta-rule mnist-classification-logistic comparative-study multiclass-perceptron learning-algorithms-comparison accuracy-analysis efficiency-analysis
  • Updated Jan 30, 2025
  • Python

CarsonScott / HSOM

Star 61

Hierarchical self-organizing maps for unsupervised pattern recognition

classifier machine-learning deep-neural-networks ai deep-learning neural-network machine-learning-algorithms ml artificial-intelligence artificial classification unsupervised-learning artificial-neural-network self-organizing-map self-organization artificial-intelligence-algorithms multiclass-classification unsupervised-machine-learning unsupervised-clustering classifier-training
  • Updated Dec 20, 2019
  • Python

CarsonScott / HSOM

Star 61

Hierarchical self-organizing maps for unsupervised pattern recognition

classifier machine-learning deep-neural-networks ai deep-learning neural-network machine-learning-algorithms ml artificial-intelligence artificial classification unsupervised-learning artificial-neural-network self-organizing-map self-organization artificial-intelligence-algorithms multiclass-classification unsupervised-machine-learning unsupervised-clustering classifier-training
  • Updated Dec 20, 2019
  • Python

TatevKaren / artificial-neural-network-business_case_study

Star 49

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

TatevKaren / artificial-neural-network-business_case_study

Star 49

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

TheKidPadra / DeepLearning.AI-Deep-Learning-Specialization

Star 33

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

TheKidPadra / DeepLearning.AI-Deep-Learning-Specialization

Star 33

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

Star 25

🚥 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#

raymelon / TrafficLightNeuralNetwork

Star 25

🚥 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#
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