Comment on the disadvantage of using linear functions as activation functions for multilayer neural networks.
What will be an ideal response?
Multilayer neural networks is useful for modeling nonlinear relation-
ships between the input and output attributes. However, if linear func-
tions are used as activation functions (instead of sigmoid or hyperbolic
tangent function), the output is still a linear combination of its input
attributes. Such a network is just as expressive as a perceptron.
Computer Science & Information Technology
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____________________ is always an option on your menu bar, regardless of what program is open and running.
Fill in the blank(s) with the appropriate word(s).
Computer Science & Information Technology
Like variables, function names are case sensitive.
Answer the following statement true (T) or false (F)
Computer Science & Information Technology