What is the primary function of the flattening layer in a convolutional neural network architecture?

a. Reducing the spatial dimensions of feature maps
b. Converting the feature maps into a 1D vector
c. Applying an activation function to the features
d. Introducing regularization to prevent overfitting

Question

26-06-2024
Computers and Technology

Answered

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What is the primary function of the flattening layer in a convolutional neural network architecture?

a. Reducing the spatial dimensions of feature maps
b. Converting the feature maps into a 1D vector
c. Applying an activation function to the features
d. Introducing regularization to prevent overfitting

Sagot :

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