Learn With Jay on MSN

Neural network Python from scratch with softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
GitHub

Open-Set Recognition: a Good Closed-Set Classifier is All You Need?

Code for our paper: Open-Set Recognition: a Good Closed-Set Classifier is All You Need? We tackle open-set recognition: the task of detecting if a test sample comes from an unseen class (which the ...
Learn With Jay on MSN

Backpropagation in neural networks step-by-step explained

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...
IEEE

Adaptive and Interpretable Speed Control Rules for En Route Arrival Management Using Extended Learning Classifier System

Abstract: Air-transport infrastructure is facing increasing congestion, necessitating innovative approaches to optimize arrival management and minimize delays near airports. To address this issue, ...
GitHub

Iris Flowers Classification with k-Nearest Neighbors

This repository contains a Python package that implements the k-Nearest Neighbors (k-NN) algorithm for classifying Iris flowers into three species: setosa, versicolor, and virginica. The package uses ...
IEEE

Developing a TinyML Image Classifier in an Hour

Abstract: Tiny machine learning technologies are bringing intelligence ever closer to the sensor, thus enabling the key benefits of edge computing (e.g., reduced latency, improved data security, ...
Microsoft

A Closed-loop Adaptive Brain-computer Interface Framework: Improving the Classifier with the Use of Error-related Potentials

Brain-computer interfaces (BCIs) using Electroencephalography (EEG) have drawn attention to providing alternative control pathways for users with motor disabilities or even the general public in ...