When making the first steps with deep learning, we grasp the idea of using a neural network to learn a function that\nmaps data to other data. We are often told that neural networks are a powerful tool in machine learning because of their\nnon-linearity and their ability to learn complex functions from data, which results in minizing some loss function. In\nthis post, we will explSore how the final-layer activations are dependent on the loss function of our problem.<\/p>"},{"title":"Introduction to ML & DL","link":"https:\/\/oriolac.github.io\/talks\/hackeps-ml-dl\/","pubDate":"Tue, 01 Nov 2022 00:00:00 +0000","guid":"https:\/\/oriolac.github.io\/talks\/hackeps-ml-dl\/","description":"
Introductory workshop on Machine Learning and Deep Learning fundamentals designed for hackathon participants. The session covers core concepts, practical algorithms, and hands-on implementation using popular frameworks.<\/p>\n
HackEPS is the largest hackathon in Catalonia, organized by students at the University of Lleida, bringing together hundreds of participants to build innovative projects in 24 hours.<\/p>"}]}}