Assertion: neural network's layer | /r/HasProperty | convolutional layers
Facets:
value: as
type: DEGREE
Source sentences:
text: These layers are convolutional layers, subsampling layers and fully meshed layers.
text: A convolutional neural network (CNN) contains one or more convolutional layers, pooling or fully connected, and uses a variation of multilayer perceptrons discussed above.
text: Neural networks add as many convolutional layers until satisfied
text: The first layer is called a convolutional layer.
text: The most important layer in the architecture of CNN is that of Convolutional Layer.
text: The first $5$ hidden layers are convolutional layers (some with max-pooling), while the next $2$ layers are fully-connected layers.
text: The third, fourth and fifth hidden layers are convolutional layers, but unlike the previous layers, they do not involve max-pooling.
text: A Convolutional Neural Network (CNN) is comprised of one or more convolutional layers (often with a subsampling step) and then followed by one or more fully connected layers as in a standard multilayer neural network.
text: A Convolutional neural network (CNN) is a neural network that has one or more convolutional layers and are used mainly for image processing, classification, segmentation and also for other auto correlated data.