The schematic diagram of the three 3D CNN architectures, i.e., VGG-13 (a), ResNet-50 (b), and DenseNet-169 (c). VGG-13 includes several convolution and pooling layers as the building block of the architecture.
Its architecture mainly consists of convolution layers, pooling layers, and fully connected layers with an output classifier. 1D-CNN is a degraded version of CNN, where input raw data, filter kernels, and feature maps are all one dimensional. The main function of convolution layer is to ...
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