Conocer los fundamentos del Deep Learning
Entrenar y optimizar una red neuronal convolucional
Clasificar objetos a través de imágenes con redes neuronales convolucionales
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.
Convolutional Neural Network
Deep Learning
Redes Neuronales
keras
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introducción a las redes convolucionales
Fundamentos de Keras
Importación y análisis exploratorio (EDA)
Pre-procesamiento de los datos
Implementación de una red neuronal convolucional con Keras
Ejercicio aplicado de implementación de una red neuronal convolucional
Evaluación del modelo
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
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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.
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