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by Paolo Bendandi https://unsplash.com/photos/hZUlyk-EeuU

Today I want to talk about Neural Style Transfer and Convolutional Neural Networks (CNNs). There are already quite a few articles and tutorials available. Sometimes content is just copied, some provide a novel implementation. What all have in common is a very fast dive into specifics. Too specific in my opinion. Not only that, but there are often implementation details that make it harder to focus on the main concept as a whole.

This article can be considered as an overview and comprehension of other articles (listed in my “Inspiration” section), to understand the concept on a higher level. My intention is to strip away some implementation details, being high level enough for beginners and sparking curiosity for reading the original research paper and subsequent implementations. …


Daniel Deutsch

Data Science and Business Law. https://www.createdd.com/

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