Using Tensorflow for Image Style Transfer

提供方
Coursera Project Network
在此指导 项目中,您将:

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

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

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在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

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