The First Mathematical Implementation of an Artificial Neuron
In the 1940s, the neurophysiologist Warren McCulloch and the mathematician Walter Pitts designed the first mathematical implementation of an artificial neuron combining the neuroscience foundations with mathematical operations [Ref: Neural Network Programming with Java - Second Edition, By: Fabio M. Soares; Alan M. F. Souza, Publisher: Packt Publishing, Pub. Date: March 2017. Print ISBN-13: 978-1-78712-605-3].
In the 1940s, the neurophysiologist Warren McCulloch and the mathematician Walter Pitts designed the first mathematical implementation of an artificial neuron combining the neuroscience foundations with mathematical operations [Ref: Neural Network Programming with Java - Second Edition, By: Fabio M. Soares; Alan M. F. Souza, Publisher: Packt Publishing, Pub. Date: March 2017. Print ISBN-13: 978-1-78712-605-3].
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Stein goes through a whole history of algorithms: "beginning in 2006 researchers developed three major breakthroughs in regards to the algorithms used in deep learning: Restricted Boltzmann Machines (RMBs), Deep Belief Networks (DBNs), and Convolutional Neural Networks (CNNs).” He goes into each in detail.
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