Classification of Phonocardiograms with Convolutional Neural Networks-Figure 5. An example of a convolutional layer (Convolutional Neural Networks (LeNet), 2018)

<p>Figure 5 shows an example of a convolutional layer. Layer m-1 includes four feature maps. The m is a hidden layer and it includes two feature maps such as h0 and h1. The neuron outputs at h0 and h1 are calculated from the neuron outputs entering the 2x2 receiving area at the layer below layer m-1. Thus, the weights are W0, and W1 and h,0 and h1 are weight tensors that have three dimensions. The leading dimension indexes the map entries summaries, pointing to the other two neuron outputs. To combine all of them Wijkl , with each pixel of the layer&#39;s minus k map, it refers to the weight of the link between neuron outputs (i, j) in the coordinates of the feature map m-1 (Convolutional Neural Networks (LeNet), 2018).</p>