What ArtNet Does ArtNet “knows” what a painting is about. Be it a landscape or still life or a portrait, or any of the different art genres. Examples of genres : Still Life Cityscape Religious
Implementation The OpenPOWER Deep Learning Distribution Frameworks like Theano and Tensorflow available as Pre-built binaries optimized for GPU acceleration Adding Keras was a breeze, since it runs on top of Theano or Tensorflow
Hyperparameter Optimization The Real Deal Enter the “hyperas” library A very simple convenience wrapper around hyperopt for fast prototyping with keras models.
Enter the “elephas” library Distributed Deep Learning with Keras & Spark Thought : SuperVessel Cloud makes it a breeze to spin up multi node spark instances, why not use it as Nitrox! ;)
Going Forward • Predict the artist given a painting • Help Social Science people in understanding art influences : ✴ which artist influenced whom? ✴ to what extent?