Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
Efficient, transparent deep learning in hundreds of lines of code.
Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
Neural Network Verification Software Tool
Optimal Control Strategies on Cart-pole System in Simscape Multibody Simulation
Matlab Module for Stock Market Prediction using Simple NN
A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction
NNAEC-Neural Network based Acoustic Echo Cancellation
Gang transform（CR-PNN）:Renamed "DD".New ArXiv and code: https://github.com/liugang1234567/Gang-neuron. B站视频讲解：https://www.bilibili.com/video/BV1zp4y1971R/
This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.
My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.
A Chess Board configuration recognition Computer Vision Project
This project implements an advanced control system using a Neural Network-Fuzzy Logic-based Self-tuned PID Controller to optimize the performance and stability of an Autonomous Underwater Vehicle (AUV).
吴恩达机器学习课程笔记 。
Image to Image Translation Using Generative Adversarial Networks
This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically tune a PID controller for an Autonomous Underwater Vehicle (AUV). The implementation aims to enhance precision, adaptability, and robustness in underwater environments.
NUS Neural Networks (EE5904/ME5404) Semester2 AY21/22, including all the 5 projects and solutions