Deep Learning:Convolution Neural Network
Deep Learning: Convolution Neural Network: A convolution neural network is a type of supervised learning. Convolutional Neural Network strength: • Feature extraction and classification are integrated into one structure • Fully adaptive. • Network extracts 2-D image features at increasing dyadic scales. • Relatively invariant to geometric, local distortions in the image. • Applications: Hand-written digit recognition, face detection, and face recognition A Convolutional neural networks are designed to process two-dimensional (2-D) image A CNN consists of three layers (i) Convolution layers (ii) Sub-sampling layers (III) Outputlayer or fully -connected layers(fc). Network architecture is shown in fig1. ...