Deep learning comes of age

By G. Anthes. 2013

28 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Deep Learning: Methods and Applications (2014, background): “During the past several years, the techniques developed from deep learning research have already been impacting a wide range of signal and information processing work within the traditional and the new, widened scopes including key aspects of machine learning and artificial intelligence; see overvie”
Text Classification Algorithms: A Survey (2019, methodology): “Another limitation of DL is that it usually requires much more data than traditional machine learning algorithms, which means that this technique cannot be applied to classification tasks over small datasets [204,205].”
Brain-Inspired Classroom Occupancy Monitoring on a Low-Power Mobile Platform (2014, background): “I. INTRODUCTION Brain-inspired computer vision (BICV) has attracted much attention lately as a possible means to overcome the limits of current algorithmic solutions by taking inspiration from a proven, energy-efficient vision system: the mammalian brain [4].”