StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity

• Published in: IEEE access Vol. 4; pp. 1915 - 1924
• Main Authors: Shafiee, Mohammad Javad, Siva, Parthipan, Wong, Alexander
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Artificial neural networks; Biological neural networks; Brain modeling; Computer architecture; Data models; Datasets; Deep Convolutional Nueral Network; Machine learning; Neural networks; Neurons; Random Graph; Random graphs; Stochastic processes; StochasticNet; Deep convolutional nueral network; StochasticNet; random graph

Deep neural networks are a branch in machine learning that has seen a meteoric rise in popularity due to its powerful abilities to represent and model high-level abstractions in highly complex data. One area in deep neural networks that are ripe for exploration is neural connectivity formation. A pi...