Title :
Deep learning: Architectures, algorithms, applications
Author :
Roland Memisevic
Author_Institution :
University of Montreal
Abstract :
This article consists of a collection of slides from the author´s conference presentation. Some of the topics covered include: Machine learning 101: Neural nets, backprop, RNNs; Applications; Structured prediction; Unsupervised learning; "Neural Programs"; Architecture exploration; Towards hardware-friendlier DL; and Software.
Keywords :
"Machine learning","Unsupervised learning","Artificial neural networks","Recurrent neural networks","Learning (artificial intelligence)"
Conference_Titel :
Hot Chips 27 Symposium (HCS), 2015 IEEE
DOI :
10.1109/HOTCHIPS.2015.7477319
