Hey Tejasvy!!

In deep learning, a constitutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery..They have applications in image and video recognition, recommender systems image classification, medical image analysis, natural language processing and financial time series.
CNNs are regularized versions of multilayer perceptrons. Multilayer perceptrons usually mean fully connected networks, that is, each neuron in one layer is connected to all neurons in the next layer.
CNNs use relatively little pre-processing compared to other image classification algorithms. This means that the network learns the filters that in traditional algorithms were hand-engineered.
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