Date of Award
Spring 6-14-2025
Document Type
Undergraduate Thesis
Degree Name
B.S. in Mathematics
Organizational Unit
College of Natural Science and Mathematics, Mathematics
First Advisor
Alvaro Arias
Copyright Statement / License for Reuse
All Rights Reserved.
Keywords
Machine learning, Artificial neural network, Rectified linear unit
Abstract
At its core, learning is an algorithmic process: it begins with input data, undergoes a series of transformations or computations, and yields an output intended to solve a specific task. This output is then compared against a target or desired result, and the internal mechanisms are updated based on how well the output aligns with expectations. While this feedback-driven process occurs almost effortlessly in humans, it is a far more structured, deliberate, and computationally intensive undertaking for machines.
Copyright Date
6-19-2025
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Aidan Redmond Brownell
Provenance
Received from author
File Format
application/pdf
Language
English (eng)
Extent
24 pgs
File Size
684 KB
Recommended Citation
Brownell, Aidan Redmond, "Machine Learning: Neural Networking with ReLU and Optimization" (2025). Undergraduate Theses, Capstones, and Recitals. 56.
https://digitalcommons.du.edu/undergraduate_theses/56