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Check out this Neural Style Transfer tutorial based on tf.keras and eager execution: https://medium.com/tensorflow/neural-style-transfer-creating-art-with-deep-learning-using-tf-keras-and-eager-execution-7d541ac31398 … This is likely the cleanest, nicest implementation of Neural Style Transfer with dynamic graphs that you'll find anywhere.pic.twitter.com/eMjt8tBWat
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those numbers from 0-500, super helpful and telling
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Looking forward to dissecting this soon.
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This is absolutely wonderful. But let me be critic. What's the point to reproduce an artist behaviour? My feeling is you want to catch the artist technique or his/her world view. To do that you need absolute control on the
#ML algorithm
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This looks ugly as shit. Cringy scary un-natural ugly
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Agreed that it's one of the cleanest and nicest implementations
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Vou conferir depois com cuidado. Vlw
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Is there a reason why the author says VGG-19 works better for style transfer than Resnet? Residual connections show higher classification accuracy and easier transfer learning, so I’m curious.
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This in-browser version works amazingly well too: https://reiinakano.github.io/fast-style-transfer-deeplearnjs/ …pic.twitter.com/HSWtEW9sMF
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