An Introduction to Convolutional Neural Networks

Abstract: The field of machine learning has taken a dramatic twist in re- cent times, with the rise of the Artificial Neural Network (ANN). These biologically inspired computational models can far exceed the per- performance of previous forms of artificial intelligence in common machine-learning tasks. One of the most impressive forms of ANN architecture is that of the Convolutional Neural Network (CNN). CNNs are primarily used to solve difficult image-driven pattern recognition tasks and with their precise yet simple architecture, offer a simplified method of getting started with ANNs. This document briefly introduces CNNs, discussing recently published papers and newly formed techniques in developing this bill- leniently fantastic image recognition models. This introduction assumes you are familiar with ANNs and machine learning fundamentals.

# Advanced Neural Network Applications # Computer Science # Neural Networks and Applications # Advanced Image and Video Retrieval Techniques

Aarush Saxena (2022). "An Introduction to Convolutional Neural Networks". International Journal for Research in Applied Science and Engineering Technology. https://doi.org/10.22214/ijraset.2022.47789