Training and fitting models with Rosenblatt's perceptron rule
-
Updated
Mar 19, 2017 - JavaScript
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Training and fitting models with Rosenblatt's perceptron rule
Pull from FixMyStreet a dataset of images with labels to train a CV model.
vectorizing images using pretrained convolutional neural networks to find euclidian distances between images
Machine Learning to predict future stock prices
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
This is the backend server for intelliSoundAI. intelliSound allows a user to train a neural network using machine learning and the power of Javascript.
This is the frontend client for intelliSoundAI. intelliSound allows a user to train a neural network using machine learning and the power of Javascript.
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
Simulation of Linear Regression algorithm using P5.JS
Food shelter predictor. Using machine learning to predict when food shelters need food and when to preallocate stock for them.
〰️PolyRegJS is for visualizing polynomial regression model training
Evaluating technical and physical values to define the players suitable position using machine learning
The NodeJs project for context-aware recommendation.
a second-hand online trading platform using AngularJS and AngularJS to implement frontend MVC pattern
Image recognition and classifier with tensorflow JS
Burmese digit recognizer by using Neural Network