Using Tensorflow for Image Style Transfer

ofrecido por
Coursera Project Network
En este Proyecto guiado, tú:

Transfer artistic styles from one image and apply them to another image

Clock2 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

Have you ever wished you could paint like Van Gogh, Monet or even Picasso? Better yet, have you wished for an easy way to convert your own images into new ones incorporating the style of these famous artists? With Neural Style Transfer, Convolutional Neural Networks (CNNs) distill the essence of the style of any famous artist it is fed, and are able to transfer that style to any other image. In this project-based course, you will learn how to utilize Python and Tensorflow to build a Neural Style Transfer (NST) model using a VGG19 CNN. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Introducing Neural Style Transfer with Examples

  2. Setup and Configure Modules and Visualizing the Inputs

  3. Defining content and style representations

  4. Building the model and calculating and extracting style with intermediate feature maps

  5. Training the Model

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

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