Explain Convolutional Neural Network's design?

Convolutional Neural Network Design:

  • The construction of a convolutional neural network is a multi-layered feed-forward neural network, made by assembling many unseen layers on top of each other in a particular order.
  • It is the sequential design that gives permission to CNN to learn hierarchical attributes.
  • In CNN, some of them are followed by grouping layers and hidden layers are typically convolutional layers followed by activation layers.
  • The pre-processing needed in a ConvNet is kindred to that of the related pattern of neurons in the human brain and was motivated by the organization of the Visual Cortex.