Mario Klingemann is brilliant as always.
I followed him since the early flash days1 and always admired him. Got to meet him once. Great artist with creative access to code and inspiration. Nice talk from Cyril too.
Some of the links mentioned in this talk:
http://karpathy.github.io/neuralnets/
Machine learning
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Advances in the field of deep learning have allowed neural networks to surpass many previous approaches in performance.
ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics.
Statistics and mathematical optimization (mathematical programming) methods comprise the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysis (EDA) via unsupervised learning.
From a theoretical viewpoint, probably approximately correct (PAC) learning provides a framework for describing machine learning.
Definition from Wikipedia – Machine learning
DeepDream
DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like appearance reminiscent of a psychedelic experience in the deliberately overprocessed images.
Google's program popularized the term (deep) "dreaming" to refer to the generation of images that produce desired activations in a trained deep network, and the term now refers to a collection of related approaches.
Definition from Wikipedia – DeepDream
- proto.layer51.com, Andre Michelle, B.A.S.S. Berlin Actionscript Squad etc. ↩