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Input layer

Overview#

Input layer used in Artificial Neural networks each Input neuron represents a predictor variable.

In categorical variables, N-1 Artificial Neurons are used when there are N number of categories. Input layer standardizes the range of the values by subtracting the median and dividing by the interquartile range. Then the input neurons feed the values to each of the neurons in the hidden layers.

Category#

Artificial Intelligence

More Information#

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