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.
Deep Learning with PyTorch : Neural Style Transfer
Taught in English
Instructor: Parth Dhameliya
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(100 reviews)
What you'll learn
Understand Neural Style Transfer Practically
Be able to create artistic style image by applying style transfer using pytorch
Skills you'll practice
Details to know
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Guided Project
(100 reviews)
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Set google colab runtime
Loading VGG-19 pretrained model
Preprocess Image
Deprocess Image
Create content and style loss
Get content,style features and create gram matrix
Training loop
7 project images
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
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Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
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