Examples of 'activation function' in a sentence
Meaning of "activation function"
Activation function is a term commonly used in the field of artificial intelligence and machine learning to describe a mathematical function that determines the output of a neural network
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- A function that defines the output of a particular node in an artificial neural network on the basis of its inputs.
How to use "activation function" in a sentence
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activation function
Night monochrome image activation function equipped.
The activation function may be of different types.
This function is called the activation function.
The role of an activation function is to introduce nonlinearity.
It is the most widely used activation function.
The activation function was a sigmoid function.
We will use the ReLU activation function.
The identity activation function does not satisfy this property.
The outputs are calculated by a linear activation function.
So this is another activation function which is called ReLU.
Sometimes this is called the linear activation function.
There is a different activation function which is called ReLU or.
The input neurons usually have no activation function.
This activation function will use a threshold to do its calculation.
Maybe has a ReLU activation function.
See also
The activation function can be the identity function for example.
The sum is then passed through an activation function.
Logistic activation function.
The mathematical function is referred to as the activation function.
Role of the activation function.
This could be carried out by using a softmax activation function.
Sigmoid activation function.
An identity function is for example selected as the activation function.
Semilinear activation function.
Although sometimes people also use the tanh activation function.
Activation function that almost always works better than the sigmoid function.
We use ReLU as the activation function.
In many applications the units of these networks apply a sigmoid function as an activation function.
F is called the activation function.
We demonstrate improvements on several object recognition tasks using this activation function.
Definition of an activation function.
All problems mentioned above can be handled by using a normalizable sigmoid activation function.
Going to talk about using the linear activation function is extremely rare.
In machine learning terms this is done with matrix multiplication along with an activation function.
Data which makes an activation function turn true marks the neuron as active.
Then it might be okay to have a linear activation function here so.
Then the sigmoid activation function is a very natural choice for the output layer.
Maybe a better name for it would be the identity activation function.
Here a linear activation function is used to calculate the defuzzified values for the output variables.
There is only one scenario where we tend to use a linear activation function.
The activation function Is of this output neuron is selected to be linear.
The thermal annealing is adapted to perform at least one dopant activation function.
The activation function of the LSTM gates is often the logistic function.
Transcription factor polypeptides will include an activation function derived from a transcription factor.
Conventional methods using high temperature molding destroy the photochromic dye activation function.
In which case you might use the sigmoid activation function for the output layer.
A regression problem may have a single output neuron and the neuron may have no activation function.
ReLU activation function.
The ON position acts to override the motion activation function.
Delayed Activation function.
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