CONVOLUTIONAL NEURAL NETWORK FOR IMAGE RECOGNITION AND CLASSIFICATION

  • SARANG RAVATE et al.

Abstract

In data science every step is a milestone and there are no goal in this field. So we can say that it is goal less journey. Deep learning is has capable of deals with learning unsupervised from data. The main motive of deep learning is to solve computer vision problems. We can say that it is sub-field of Machine learning. The deep learning models classifier are learn from features and other machine learning work on task specific purpose. In the features learning where lots of features are connected to basic features. In this article I have given introduction about Convolutional Neural network. Convolutional neural network used for large scale in Image processing and it is class of deep neural network. Its also used for Image recognition, video recognition, image analysis, classification, media recreation, to make recommendation system, and last natural language processing this task can be done by algorithm Convolutional neural network.

Published
2019-12-08