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Week 9 - Art Generation with Neural Style Transfer

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This week you will..

  • Discuss about neural network and art generation

  • Discuss about cost functions

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Learning Resources

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Check out Phil Wang's Repositories for more cool projects:

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Until next week you should

  • Work on your project - no fixed homework this week!

lucidrains - OverviewGitHubchevron-right
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GitHub - Mnpr/Art-Generation-GANs: :art: Series of progressive exploration and experimentation of Deep Generative Models on subset of WikiArt dataset to produce Realistic art Images.GitHubchevron-right
Project from a participant of the last semester
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GitHub - lucidrains/deep-daze: Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnounGitHubchevron-right
A super cool command tool to let network "imagine" stuff
GitHub - lucidrains/DALLE-pytorch: Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in PytorchGitHubchevron-right
An attempt of creating an open source version of DALL-E
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