Artificial neural networks that performs number recognition functions using FANN library
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Updated
Dec 30, 2016 - C++
Artificial neural networks that performs number recognition functions using FANN library
Building an Artificial Neural Network for Predicting Business Problem.
Projects of the course Artificial Neural Networks by Dr. Mozayani - Fall 2019
Classifying YouTube videos based on category id
This code plots the decision boundaries of some machine learning algorithms
Artificial neural networks (ANN) or connectionist systems are computing systems that are inspired by, but not identical to, biological neural networks that constitute animal brains. Such systems "learn" to perform tasks by considering examples, generally without being programmed with task-specific rules.
A neural network model to classify multi labelled images
Building a simple Artificial Neural Network (ANN) to predict the daily revenue($) based on the outside temperature (degC)
A java Artificial Neural Network based on a multilayered perceptron. It can use Backpropagation and a genetic algorithm for the training
Artificial Spiking Neural Networks, Spike-Timing Dependent Plasticity, Hebbian Plasticity, Closed-Loop Stimulation, Stimulation-Induced Plasticity, Computational Neuroscience
iris flower prediction
This is the Detection of the Handwritten Digits - ANN
Some introductory data science projects, along with code and documentation. Of course, these projects are university projects.
The project is a neural network-based fashion recommendation system built using Python. The model used for this system is Resnet50, which is a deep learning model used for image recognition. The data used for training the model is scraped from Flipkart, with a total of 65,000 images.
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