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A Survey on Deep Learning: Convolution Neural Network (CNN) by Madhusmita Sahu; Rasmita Dash is a book available to read on EtoBox.

What is A Survey on Deep Learning: Convolution Neural Network (CNN) about?

Deep learning is a subfield of machine learning and plays a vital role in the area of image processing, natural language processing, computer vision, etc. As compared to traditional machine learning methods, it has a strong ability of selflearning and self-debugging. Convolution neural network (CNN) is the most widely used technique of deep learning for better feature extraction from large datasets. Many researchers adopted CNN for object classification, face recognition, automatic handwritten, etc. In this paper, the detailed concepts behind CNN are discussed with their broad applications. ## Introduction Deep learning [1] is the type of data mining technique, which is the branch of machine learning, and again, machine learning is the subset of artificial neural networks (ANN). ANN is the type of neural network which tries to mimic the human brain. Machine learning is automatically learning itself and predicts the output depends on input data. Whatever the error incurred that is tried to be minimized by the programmer. The objective of the programmer to find out the best accuracy by providing what types of input data to train the model with minimum or zero error. But deep learning

Author

Madhusmita Sahu; Rasmita Dash

Publisher

Springer Singapore, Imprint: Springer

Published

2021

Language

EN

ISBN

9789811562013

Subjects

Computer Science, Management, Engineering