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Universidad Austral
Optimizaci贸n de Redes Neuronales Profundas
Universidad Austral

Optimizaci贸n de Redes Neuronales Profundas

Rafael Crescenzi
Pablo Alejandro Albani

Instructors: Rafael Crescenzi

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Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Utilizar eficazmente los "trucos" comunes de la red neuronal

  • Comprender las mejores pr谩cticas de la industria para crear aplicaciones de aprendizaje profundo.

  • Implementar y aplicar una variedad de algoritmos de optimizaci贸n.

  • Implementar una red neuronal enTensorFlow.

Details to know

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Assessments

2 assignments

Taught in Spanish

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There are 3 modules in this course

Se estudiar谩 c贸mo configurar su aplicaci贸n de aprendizaje autom谩tico, separando los sets de entrenamiento y testeo. Se entender谩 que es la regularizaci贸n en una red neuronal y c贸mo definir el problema para poder optimizarlo.

What's included

7 videos3 readings1 assignment1 ungraded lab

Se estudiar谩n los distintos m茅todos de optimizaci贸n que se pueden utilizar en el entrenamiento de redes neuronales profundas. Adem谩s, se analizar谩n las ventajas de trabajar con minibatches para acelerar el proceso y los beneficios de aplicar una diminuci贸n progresiva a la tasa de aprendizaje.

What's included

5 videos1 assignment1 ungraded lab

Se aprender谩n las principales t茅cnicas y opciones en el ajuste de Hiperpar谩metros, la normalizaci贸n por lotes y se introducir谩 la librer铆a Tensorflow para la implementaci贸n de redes neuronales en Python

What's included

4 videos1 programming assignment

Instructors

Rafael Crescenzi
Universidad Austral
2 Courses4,702 learners

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