Deep Learning with PyTorch : Neural Style Transfer

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在此免費指導項目中,您將:
2 Hours
中級
無需下載
分屏視頻
英語(English)
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In this 2 hour-long project-based course, you will learn to implement neural style transfer using PyTorch. Neural Style Transfer is an optimization technique used to take a content and a style image and blend them together so the output image looks like the content image but painted in the style of the style image. We will create artistic style image using content and given style image. We will compute the content and style loss function. We will minimize this loss function using optimization techniques to get an artistic style image that retains content features and style features. This guided project is for learners who want to apply neural style transfer practically using PyTorch. In order to be successful in this guided project, you should be familiar with the theoretical concept of neural style transfer, python programming, and convolutional neural networks.A google account is needed to use the Google colab environment.

您要培養的技能

  • Convolutional Neural Network

  • Deep Learning

  • pytorch

  • Neural Style Transfer

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