Which of the following does not describe a deep feedforward network?
A) most general type of deep network
B) many layers of neurons
C) network elements are significantly different than ANN models
D) tensors are handled as input

Question

Quizplus · Accepted Answer

Deep feedforward networks, also known as feedforward neural networks, are a type of artificial neural network where connections between the nodes do not form a cycle. These networks are essentially an extension of the traditional artificial neural networks (ANNs) with more hidden layers, allowing them to model more complex functions. Therefore, the elements of deep feedforward networks are not significantly different from those in ANNs; they are an advanced form of ANNs designed to handle more complex data representations.

Which of the Following Does Not Describe a Deep Feedforward