August 2018
Intermediate to advanced
438 pages
12h 3m
English
A linear neuron is the most basic building block of a deep neural network. It can be schematically represented as shown in the following figure. Here,
represents the input vector and wis are the weights of the neuron. Given a training set consisting a of set of input, target value pairs, a linear neuron tries to learn a linear transformation that can map the input vectors to the corresponding target value. Basically, a linear neuron approximates the input output relationship by a linear function
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