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Deep Learning with PyTorch : Neural Style Transfer
  • Level Professional
  • المدة 4 ساعات hours
  • Offered by

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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.

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Unlock your creativity with "Deep Learning with PyTorch: Neural Style Transfer," a dynamic course tailored for IT and Computer Science enthusiasts. Over two engaging hours, you'll dive into the powerful technique of neural style transfer using PyTorch. This project-based course guides you through blending a content image with a style image to produce a stunning artistic result that combines the essence of both. Under the expert instruction provided by Coursera, you'll not only learn to create these captivating images but also understand the underlying mechanics such as computing content and style loss functions and optimizing them. Designed for those with an intermediate understanding of neural style transfer, Python programming, and convolutional neural networks, this course offers a hands-on approach to mastering these skills. Perfect for learners seeking practical experience, this course is accessible for free, making it an excellent opportunity to enhance your proficiency. Note that a Google account is required to utilize the Google Colab environment for this guided project. Dive in and transform your technical know-how into artistic brilliance with this focused and practical course.