Universidad Austral
Optimización de Redes Neuronales Profundas
Universidad Austral

Optimización de Redes Neuronales Profundas

Taught in Spanish


Gain insight into a topic and learn the fundamentals

Rafael Crescenzi
Pablo Alejandro Albani

Instructors: Rafael Crescenzi

Intermediate level
Some related experience required
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll 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. 

Details to know

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There are 3 modules in this course

Se estudiará cómo configurar su aplicación de aprendizaje automático, separando los sets de entrenamiento y testeo. Se entenderá que es la regularización en una red neuronal y cómo definir el problema para poder optimizarlo.

What's included

7 videos3 readings1 quiz1 ungraded lab

Se estudiarán los distintos métodos de optimización que se pueden utilizar en el entrenamiento de redes neuronales profundas. Además, se analizarán las ventajas de trabajar con minibatches para acelerar el proceso y los beneficios de aplicar una diminución progresiva a la tasa de aprendizaje.

What's included

5 videos1 quiz1 ungraded lab

Se aprenderán las principales técnicas y opciones en el ajuste de Hiperparámetros, la normalización por lotes y se introducirá la librería Tensorflow para la implementación de redes neuronales en Python

What's included

4 videos1 programming assignment


Rafael Crescenzi
Universidad Austral
2 Courses4,027 learners

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