Create inspiring visual content in a collaboration with our AI enabled tools
-
DEEP STYLE
The technique is a much more advanced version of the original Deep Dream approach. It is capable of using its own knowledge to interpret a painting style and transfer it to the uploaded image. -
THIN STYLE
This tool is a simplified version of the Deep Style one. It is not capable of creating advance transformations but it still shines with some exceptional results. It is also noticeably faster than its big brother. -
DEEP DREAM
Initially it was invented to help scientists and engineers to see what a deep neural network is seeing when it is looking in a given image. Later the algorithm has become a new form of psychedelic and abstract art.
Alt (Python & TensorFlow): https://www.tensorflow.org/hub/tutorials/tf2_arbitrary_image_stylization
There are a lot of different types of A.I. and they can be grouped by some basic properties: White Box, Black Box, Grey Box
With my own systems, I call each of these kinds of rules a flag. One flag isn't bad. Two flags should be monitored. Three flags need a manual evaluation. And any more flags merit an automated response. (E.g., (1) A new account that (2) is associated with a known bot naming pattern, and (3) is posting about a current undesirable topic? Manually evaluate it. If it also (4) comes from a known hostile cloud provider, then just block it.)
Rules like these don't require deep neural network (DNN) technologies; these are heuristics for an expert system. They can be implemented, tested, and deployed very quickly. Moreover, expert systems like these are likely to have fewer errors. I think Zuckerberg's reliance on DNN technologies is a big mistake, and not something that will be accurate enough in the next 5-10 years.
Online tool to add nice effects to photos
OSS Python script: https://github.com/anishathalye/neural-style
Le système pix2pix est de retour. Il y a plusieurs mois il permettait d'incarner des créatures monstrueuses à partir de dessins de chat, aujourd'hui il génère des visages humains.