Deep Learning, Artificial Intelligence, Heart Sounds, Sound Classification, Cardiology.
64 feature maps to a dimension of 6×60. A second convolutional layer applies 64 2×10 kernels over the previous layer, once again using same padding. This is again followed by a max-pooling operation using a filter size of 1x4 and a stride of 2, further reducing each feature map to a dimension of