A flexible artificial neural network builder to analyse performance, and optimise the best model.
-
Updated
May 21, 2021 - Python
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
A flexible artificial neural network builder to analyse performance, and optimise the best model.
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Mathematics paper recapitulating the calculus behind a neural network and its back propagation
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…
🏆 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.
Hierarchical self-organizing maps for unsupervised pattern recognition
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)
Controllers designed to the 5MW NREL wind turbine using Simulink and Fast V8
Image Classification for Android using Artificial Neural Network using NumPy and Kivy.
🚥 An Artificial Neural Network based Traffic Light Controller for intersections. Computational Intelligence class final project.
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
A topology and parameter evolving universal learning network.
The project trains an Artificial Neural Network which can predict whether a visitor will generate revenue for the company or not.
[ICLR 2024] Dynamic Neural Response Tuning
This repository contains a gentle introduction to machine learning algorithms with hands on practical examples
An approach to tumor detection and segmentation via encoder decoder artificial neural network architecture
Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow
A Multi Layer Perceptron (MLP) Artificial Neural Network (ANN) Framework Developed in C for Machine Learning (ML) and Deep Learning (DL)
LoveBrains is a simulator of artificial intelligence based on a plugin system.