Convolutional Neural Network Features

Convolutional neural network features help when using a classification based on neural networks.

Number of sample patches

Convolutional neural networks > [number of sample patches]

Feature that calculates the number of existing sample patches for a class.

Editable Parameters

Sample folder: Select an existing sample folder path.
Class: Select the class(es) to calculate the number of sample patches.

Convolutional neural network model info

Convolutional neural networks > convolutional neural network model info

This feature returns the current settings of the convolutional neural network model. Right-click the feature in the feature view and select Display in Image Object Information.

The following parameters are displayed:

Number of layers including hidden layers
Kernel size for each hidden layer
Number of feature maps for each hidden layer
Pooling - max pooling set to yes or no for each hidden layer
Sample size [Sample patch size x Sample patch size x Number of image layers]
Classes

Learn more:

Convolutional Neural Networks - Deep Learning Tutorial

Convolutional Neural Networks - Deep Learning Classification (User Guide)

Convolutional Neural Networks - Deep Learning Algorithms (Reference Book)

eCognition tv - Deep Learning webinars and more on our website