Assertion: neural network | /r/HasAspect | many layers
Facets:
Source sentences:
text: When a neural network has many layers, it’s called a deep neural network, and the process of training and using deep neural networks is called deep learning,
text: A neural network can have any number of layers with any number of neurons in those layers.
text: This neural network has one layer, three inputs, and one output.
text: This neural network has two layers, three inputs, and one output.
text: When the neural network has many layers, it is referred to as a deep neural network, or deep learning, Stadtmueller added.
text: The reason for this will be explained in more detail later, but in short, they make neural networks that have many layers difficult to train due to the vanishing gradient problem.
text: A neural network can have any number of layers with any number of neurons in those layers.
text: Neural networks can have any number of layers, and any number of nodes per layer.