Best of Not ‘Shopped
Wings of desire, Seb Janiak
Near at hand, Greg Ponthus
Light painting by Dan Chick
Octotype
Japan by car, James Gilleard
Anti-heroes, Susana Blasco
My love is a dog from Hell, Leonard Koscianski
Short video from Károly Zsolnai-Fehér explains simply how neural network artistic style transfer works, including new improved research work on the subject:
Artificial neural networks were inspired by the human brain and simulate how neurons behave when they are shown a sensory input (e.g., images, sounds, etc). They are known to be excellent tools for image recognition, any many other problems beyond that - they also excel at weather predictions, breast cancer cell mitosis detection, brain image segmentation and toxicity prediction among many others. Deep learning means that we use an artificial neural network with multiple layers, making it even more powerful for more difficult tasks. This time they have been shown to be apt at reproducing the artistic style of many famous painters, such as Vincent Van Gogh and Pablo Picasso among many others. All the user needs to do is provide an input photograph and a target image from which the artistic style will be learned.
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A simple reblog blog, aimed to support artwork, ideas and other mind candy.
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