Information Theory is Changing Machine Learning Concepts
Researchers have put forward a contradictory idea to the widely accepted working of machine learning. The scientists from MIT and University of Wellington applied the algorithm to typical classification examples. According to information theory, deep neural networks store encoded information within layers. Initial layers hold a signal to the classification of the item. In neural networks, intermediate layers hold information, which helps in the mapping of data. Raw data transforms
