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Neural Networks
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Convolutional neural network
What is the difference between receptive fields in a convolutional layer and a fully connected layer?
Receptive fields are the same in both layers
Convolutional layers have larger receptive fields than fully connected layers
Fully connected layers have larger receptive fields than convolutional layers
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Why?
Convolutional neural network
What is the function of pooling layers in a convolutional neural network?
To increase the dimensions of data
To simplify the data and reduce the risk of overfitting
To add more layers to the network
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Why?
Convolutional neural network
What is the advantage of using convolutional layers in a neural network?
They require less training data
They reduce the number of free parameters
They are more accurate than other algorithms
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