June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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A brief history of ANNs
Inspired by the working principles of biological neurons, Warren McCulloch and Walter Pitts proposed the first artificial neuron model, in 1943, in terms of a computational model of nervous activity. This simple model of a biological neuron, also known as an artificial neuron (AN), has one or more binary (on/off) inputs and one output only. An AN simply activates its output when more than a certain number of its inputs are active.
The example sounds too trivial, but even with such a simplified model, it is possible to build a network of ANs. Nevertheless, these networks can be combined to compute complex logical expressions too. This simplified model inspired John von Neumann, Marvin Minsky, Frank Rosenblatt, and many ...
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