Question: An activation function in neural networks is usually a . a count function b . a linear function c . a nonlinear function

An activation function in neural networks is usually
a.
a count function
b.
a linear function
c.
a nonlinear function

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Finance Questions!

Q:

In addition to tanh, another s-shaped smooth function, the logistic sigmoid function y=1 / (1+exp(x)), is commonly used as an activation function in neural networks. A common way to implement them in...

Q:

Which of the following is used as an activation function in Neural Networks? 1 ) The Sigmoid Function 2 ) The Hyperbolic Tangent Function ( Tanh ) 3 ) The Rectified Linear Unit ( ReLU ) 4 ) Dropout

Q:

Which statement is CORRECT about activation functions in neural networks? a ) All layers in a neural network must use the same activation function. b ) Different activation function choices have no...

Q:

Which statement is CORRECT about activation functions in neural networks? A . In neural networks, activation functions must be non - linear. B . Di erent activation function choices have no impact on...

Q:

Choose the correct statement Activation layers must be a piecewise linear function Deep neural networks can give better approximation capacity ( better approximation capacity = = smaller...

Q:

List the important properties of artificial neural networks, which make them useful. (06 Marks) b. With a neat sketch, explain the McCullock Pitts model of a neuron and give the describing equations...

Q:

Abed is studying data science. Abed tries to develop a machine model learning to predict carbon dioxide emissions based on daily temperature. Abed uses the sigmoid function to normalize the...

Q:

Abed is studying data science. Abed tries to develop a machine model learning to predict carbon dioxide emissions based on daily temperature. Abed uses the sigmoid function to normalize the...

Q:

Abed is studying data science. Abed tries to develop a machine model learning to predict carbon dioxide emissions based on daily temperature. Abed uses the sigmoid function to normalize the...

Q:

I used python with the code below. Not sure what is wrong T4-HW4.7. Floating Point and Softmax The softmax function normalizes a vector so its entries are positive and sum to 1. This is useful for...

Q:

Select the conjugate acid-base pairs for the reaction: CH3COH(aq) + HO(1) CH3CO2 (aq) + H3O+ (aq) and Determine [H3O+] in a solution where [HI] = 0.152 M. [H3O+] = M and Determine [H3O+] in a...

Q:

Define analytics.

Q:

which statement accurately describes the components of investment return? A . return consists of market risk premium and capital appreciate B . returns consist of systematic risk and US returns C ....

Q:

Pharoah Company reported the following amounts for 2022: Raw materials purchased $95,200 Beginning raw materials inventory 5,824 Ending raw materials inventory 5,040 Beginning finished goods...