Redes neuronales convolucionales con Keras

Offered By
In this Guided Project, you will:

Conocer los fundamentos del Deep Learning

Entrenar y optimizar una red neuronal convolucional

Clasificar objetos a través de imágenes con redes neuronales convolucionales

2 horas
Intermediate
No download needed
Split-screen video
Spanish
Desktop only

Este proyecto es un curso práctico y efectivo para aprender a generar redes neuronales convolucionales con Python y Keras. Aprenderás desde cero los fundamentos del Deep Learning y a como crear este tipo de redes. Gracias a este curso aprenderás a programar tus propias redes convolucionales capaces de clasificar objetos de imágenes como el tipo de ropa o el número de la imagen.

Skills you will develop

  • Convolutional Neural Network

  • Deep Learning

  • Redes Neuronales

  • keras

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 las redes convolucionales

  2. Fundamentos de Keras

  3. Importación y análisis exploratorio (EDA)

  4. Pre-procesamiento de los datos

  5. Implementación de una red neuronal convolucional con Keras

  6. Ejercicio aplicado de implementación de una red neuronal convolucional

  7. Evaluación del modelo

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently Asked Questions

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At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.

Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.