Practical Computer Vision Applications Using Deep Learning with CNNs by Ahmed Fawzy Gad

Author:Ahmed Fawzy Gad
Language: eng
Format: epub, azw3
ISBN: 9781484241677
Publisher: Apress

Because there are four groups of neurons, that means there are four filters in this layer. As a result, the output of this layer will have its third dimension equal to 3, which means three filtered images will be returned. The goal of CNN is to find the best values for such filters that make each input image associated with its class label.

Figure 5-12 shows the unique connections from each pixel to the first neuron of each group. That is, all missing connections are just duplicates of the existing ones. Hypothetically, there is a connection from each pixel to each neuron in each group, as in Figure 5-9, because the network is still FC.

Figure 5-12Fewer unique connections between the input layer and the hidden layer after hidden neurons grouping

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