Coursera Project Network
Autoencoders y eventos extremadamente infrecuentes
Coursera Project Network

Autoencoders y eventos extremadamente infrecuentes

Taught in Spanish

Leire Ahedo

Instructor: Leire Ahedo

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 horas
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Entrenarás y optimizarás los Autoencoders

  • Procesarás los datos con Autoencoders para poder predecir eventos infrecuentes con modelos de clasificación básicos

  • Predecirás clases extremadamente infrecuentes utilizando solo los datos de la clase más frecuente

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

2 horas
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introducción a los Autoencoders

  2. Arquitectura de los Autoencoders

  3. Datos desbalanceados y Autoencoders

  4. Ejercicio práctico. Clasificación semi-supervisada con Autoencoders. Parte I

  5. Clasificación con Autoencoders y modelo de regresión logística

  6. Ejercicio práctico. Clasificación semi-supervisada con Autoencoders. Parte I

  7. Autoencoders y eventos extremadamente infrecuentes. Parte I

  8. Ejercicio práctico. Predicción de eventos extremadamente infrecuentes. Parte I

  9. Autoencoders y eventos extremadamente infrecuentes. Parte II

  10. Ejercicio práctico. Autoencoders para la clasificación de eventos extremadamente infrecuentes. Parte II

Recommended experience

Deep Learning

7 project images

Instructor

Leire Ahedo
Coursera Project Network
68 Courses35,757 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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