Machine Learning con TensorFlow

Bonilla Pardo, Víctor (2018). Machine Learning con TensorFlow. Proyecto Fin de Carrera / Trabajo Fin de Grado, E.T.S. de Ingenieros Informáticos (UPM), Madrid, España.

Description

Title: Machine Learning con TensorFlow
Author/s:
  • Bonilla Pardo, Víctor
Contributor/s:
  • Castellanos Peñuela, Juan Bautista
Item Type: Final Project
Degree: Grado en Ingeniería Informática
Date: January 2018
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (2MB) | Preview

Abstract

En la actualidad, vivimos en una sociedad totalmente conectada a Internet. La cantidad ingente de datos en bruto generados hora tras hora y el aumento progresivo de los recursos hardware ha ocasionado el auge del Aprendizaje Automático y las Redes Neuronales Artificiales. En este documento se recoge una introducción a las Redes de Neuronas Artificiales. Desde un enfoque teórico se presentan los fundamentos de las Redes Neuronales clásicas y las arquitecturas de las Redes Neuronales empleadas hoy en día . Asimismo, se muestra cómo implementar los diseños descritos por la teoría mediante el lenguaje de programación Python y la librería TensorFlow para resolver, primero un problema clásico, y posteriormente para resolver y experimentar con un problema de la plataforma web Kaggle.---ABSTRACT---Currently, humans live in a s ociety completely connected to the Internet. The enormous amount of raw data generated every hour and the progressive rise in the hardware resources has caused the boom in Machine Learning and Artificial Neural Networks. This document contains an introduct ion to Artificial Neural Networks. From a theoretical approach, the fundaments of classic Neural Networks and the architecture of the Neural Networks used nowadays. Also, it shows how to implement the designs described by the theory with the programming la nguage Python and the TensorFlow library to solve, firstly a classic problem, and afterwards to solve and experiment with a problem from the Kaggle web platform.

More information

Item ID: 49683
DC Identifier: http://oa.upm.es/49683/
OAI Identifier: oai:oa.upm.es:49683
Deposited by: Biblioteca Facultad de Informatica
Deposited on: 12 Mar 2018 08:31
Last Modified: 12 Mar 2018 08:32
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM