A survey on deep learning feature extraction techniques

Abstract

The major advancing techniques in machine learning are mainly two, they are deep learning and computer vision. The advanced deep learning techniques are highly promising to increase the interest in research within the upcoming years. This is often because the eminent benefits in overcoming the drawbacks within the outdated techniques for producing the result accurately. The theme of this paper is to provide a comprehensive description on the convolution neural network and its recent improvements which includes the CNN - S convolution neural network segmentation, CNN - CBIR convolution neural network - content-based image retrieval system. This survey paper provides a detailed summary within the latest advancements in the domain of CNN with various extended applications through its classification for improved understanding. Analysing the performance is done considering the speed, accuracy and ease.