Este curso te brindará los conocimientos introductorios sobre Aprendizaje Profundo, vas a entender
Introducción al Aprendizaje Profundo
Instructors: Rafael Crescenzi
3,500 already enrolled
Included with
What you'll learn
Interpretar qué es el aprendizaje profundo
Evaluar por qué usar técnicas de aprendizaje profundo y cuándo usarlo
Construir y entrenar una regresión logística para un problema de clasificación
Construir y entrenar una red neuronal completamente conectada para un problema de clasificación
Details to know
Add to your LinkedIn profile
3 assignments
See how employees at top companies are mastering in-demand skills
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
Se estudiará qué es el aprendizaje supervisado, que son las redes neuronales, a qué llamamos aprendizaje profundo y cuál es su importancia actual
What's included
6 videos2 readings1 assignment
Se analizarán los conceptos más importantes referidos a las redes neuronales, partiendo desde la clasificación binaria con regresiones logísticas, el descenso del gradiente y la vectorización.
What's included
8 videos1 assignment
Se introducirán a las redes neuronales profundas, intuición de las funciones de activación, iniciaciones y propagaciones
What's included
5 videos1 assignment
Se explorarán las Redes Neuronales denominadas profundas, es decir, aquellas con múltiples capas ocultas, que permiten una representación más compleja de los patrones en los datos. Se evaluará como cambia su implementación y optimización de parámetros
What's included
4 videos1 programming assignment
Offered by
Recommended if you're interested in Data Analysis
Universidad Nacional Autónoma de México
Universidad de los Andes
Pontificia Universidad Católica de Chile
Coursera Project Network
Why people choose Coursera for their career
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.