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Art Generation using Neural Style Transfer Algorithm

License: GNU General Public License v3.0

Jupyter Notebook 99.10% Python 0.90%
neural-style-transfer neural-networks art artistic-style-transfer image-manipulation cnn cnn-model cnn-keras tensorflow neural-style

artistic-image-generation's Introduction

Deep Learning & Art: Neural Style Transfer

  • Implementing the neural style transfer algorithm and
  • Generate novel artistic images

Neural Style Transfer (NST) is one of the most fun techniques in deep learning. It merges two images, namely: a "content" image (C) and a "style" image (S), to create a "generated" image (G).

The generated image G combines the "content" of the image C with the "style" of image S.

Using VGG-19, a 19-layer version of the VGG network.

This model has already been trained on the very large ImageNet database, and thus has learned to recognize a variety of low level features (at the shallower layers) and high level features (at the deeper layers).

Flow of Neural Style Transfer Algorithm:

Neural Style Transfer Algorithm

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