This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence is written by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, ...

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...

Abstract: Course recommendations on online platforms are full of uncertainty and ambiguities due to the involvement of several uncertain factors. The primary goal of this study is to investigate an ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Mountain Lake is really special. They do a field herpetology class. There is a Biology of Insects class. My Biology of Fishes class is a field-based class, where students are immersed in fish biology ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we want these technologies to serve society responsibly, tomorrow’s citizens need ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...

Can you tell us about your educational and work experience background before you enrolled in this program? My background was originally on the business side. After university, I did some data analysis ...