ThegradCAMfunction computes the Grad-CAM map by differentiating the reduced output of the reduction layer with respect to the features in the feature layer.gradCAMautomatically selects reduction and feature layers to use when computing the map. To specify these layers, use the'ReductionLayer'and'F...
Fully convolutional networks owe their name to their architecture, which is built only from locally connected layers, such as convolution, pooling and upsampling. Note that no dense layer is used in this kind of architecture. This reduce the number of parameters and computation time. Also the ...
True colour vision requires comparing the responses of different spectral classes of photoreceptors. In insects, there is a wealth of data available on the physiology of photoreceptors and on colour-dependent behaviour, but less is known about the neural
Although the intima layer of the aortic wall is primarily exposed to the abnormal hemodynamic caused by BAV morphology, the state and integrity of that in human BAV has been largely unexplored. Additionally, endothelial specific mutations in certain genes gave rise to a BAV in animal models14,15...
The gradCAM function computes the Grad-CAM map by differentiating the reduced output of the reduction layer with respect to the features in the feature layer. gradCAM automatically selects reduction and feature layers to use when computing the map. To specify these layers, use the 'ReductionLaye...