By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Abstract: While convolution and self-attention mechanisms have dominated architectural design in deep learning, this survey examines a fundamental yet understudied primitive: the Hadamard product.

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, ...

Getting started with Machine Learning and Deep Learning Module 1 - Python Programming Intro to Python Data Structures in Python (List, Tuple, Set, Dictionary) Control Statements (Decision and Loops) ...

Introduction: The COVID-19 pandemic accelerated global online education, which faces “shallow learning” challenges. Deep learning is key to student competencies. Based on sociocultural theory, this ...

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...

In today’s deep learning landscape, optimizing models for deployment in resource-constrained environments is more important than ever. Weight quantization addresses this need by reducing the precision ...

This repository houses all material related to my master's course on Deep Learning. The course was done in the first semester of 2025 at Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio). A ...