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Neural Style Transfer Tutorial with Tensorflow and Python in 10 Minutes

Getting started with generative AI? Want to learn how to make art with Tensorflow? Maybe, you just can't be bothered with basic image filters?! You need to check out Neural Style Transfer. Neural Style Transfer is a process that uses neural networks to apply the artistic style from one image to another. This means that you can take famous artworks and their styles and apply them to your own images. Even better yet, you can do it in just 10ish minutes using Python and Open Source tools like Tensorflow and Matplotlib. In this video you'll go through: 1. Downloading a model from Tensorflow Model Hub 2. Preprocessing images for neural style transfer 3. Applying and visualizing style transfer Get the CODE: https://github.com/nicknochnack/Pytho... Chapters 0:00 - Start 0:30 - What is Neural Style Transfer 2:42 - Importing Dependencies for Neural Style Transfer with Python 3:33 - Loading a Neural Style Transfer model from Tensorflow Hub 5:10 - Preprocessing and Loading Images 8:38 - Visualising Images 9:34 - Running the Neural Style Transfer Algorithm 10:38 - Exporting Images Oh, and don't forget to connect with me! LinkedIn:   / nicholasrenotte   Facebook:   / nickrenotte   GitHub: https://github.com/nicknochnack Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand!