2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
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Updated
Mar 27, 2023 - Jupyter Notebook
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
A flexible artificial neural network builder to analyse performance, and optimise the best model.
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)
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.
Controllers designed to the 5MW NREL wind turbine using Simulink and Fast V8
The project trains an Artificial Neural Network which can predict whether a visitor will generate revenue for the company or not.
Hierarchical self-organizing maps for unsupervised pattern recognition
Mathematics paper recapitulating the calculus behind a neural network and its back propagation
🚥 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
Spiking Artificial Neural Network With Reward Driven Hebbian Learning
Image Classification for Android using Artificial Neural Network using NumPy and Kivy.
A Multi Layer Perceptron (MLP) Artificial Neural Network (ANN) Framework Developed in C for Machine Learning (ML) and Deep Learning (DL)
This could include projects related to meditation and mental health, such as guided meditation apps or tools for tracking mood and stress levels. The goal of "OpenConscience" would be to promote technology that helps people live more mindfully and ethically in their personal and professional lives.
In this repo, there are lecture notes of Artificial Neural Networks (ANN).
A topology and parameter evolving universal learning network.
Simple ANN, CNN and RNN examples.