Convolutional neural networks or ConvNets, are deep neural networks that have provided successful results in computer vision. They were inspired by the organization and signal processing of neurons in the visual cortex of animals, that is, individual cortical neurons respond to the stimuli in their concerned small region (of the visual field), called the receptive field, and these receptive fields of different neurons overlap altogether covering the whole visual field.
When the input in an input space contains the same kind of information, then we share the weights and train those weights jointly for those input. For spatial data, such as images, this weight-sharing leads to CNNs. Similarly, for a sequential ...
