About this Course

Este curso se centrará en la optimización de Redes Neuronales Profundas, cambiando la idea de que todo el proceso es una “caja negra”. 
Comprenderá qué impulsa el rendimiento y podrá obtener mejores resultados de manera más sistemática  
Entenderá cómo optimizar los principales Hiperparámetros y su implementación.  
Además, aprenderá nuevos conceptos útiles para el entrenamiento de las redes como los mini-batch y las regularizaciones.  
También, aprenderá a implementar una red neuronal utilizando TensorFlow

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 8 hours to complete

Spanish

What you will learn

Utilizar eficazmente los "trucos" comunes de la red neuronal
Comprender las mejores prácticas de la industria para crear aplicaciones de aprendizaje profundo.
Implementar y aplicar una variedad de algoritmos de optimización.
Implementar una red neuronal en TensorFlow.

Skills you will gain

Implementar una red neuronal en TensorFlow.
Utilizar eficazmente los "trucos" comunes de la red neuronal incluida la inicialización la regularización de L2 los dropout y la normalización por lotes (Batch)
Implementar y aplicar una variedad de algoritmos de optimización.
Comprender las mejores prácticas de la industria para crear aplicaciones de aprendizaje profundo.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Approx. 8 hours to complete

Spanish

Instructors

Rafael Crescenzi

Magister en Data Mining

Facultad de Ingeniería Pilar

2,778 Learners

2 Courses

Pablo Alejandro Albani

Magister en Data Mining

Facultad de Ingenieria

2,778 Learners

2 Courses

Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Aspectos prácticos del aprendizaje profundo

3 hours to complete

7 videos (Total 50 min), 3 readings, 1 quiz

Week2

Week 2

2 hours to complete

Algoritmos de Optimización

2 hours to complete

5 videos (Total 38 min)

Week3

Week 3

4 hours to complete

Ajuste de Hiperparámetros, Normalización por lotes e implementación en Tensorflow

4 hours to complete

4 videos (Total 31 min)

Frequently Asked Questions

When will I have access to the lectures and assignments?
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.
What will I get if I purchase the Certificate?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Optimización de Redes Neuronales Profundas