NEURAL NETWORK

Anurag shanbharkar; Vijay M. Rakhade; Lowlesh N. Yadav

doi:10.59367/5ab5fk78

Authors

Anurag shanbharkar Department of Computer Science & Engineering Shri Sai College of Engineering & Technology, Chandrapur, India
Vijay M. Rakhade Department of Computer Science & Engineering Shri Sai College of Engineering & Technology, Chandrapur, India
Lowlesh N. Yadav Department of Computer Science & Engineering Shri Sai College of Engineering & Technology, Chandrapur, India

DOI:

https://doi.org/10.59367/5ab5fk78

Keywords:

Deep Learning Convolutional Neural Networks (CNN), Transfer Learning Explainable AI (XAI), Computer Vision Neural Network Interpretability Image Classification

Abstract

Neural networks, a subset of artificial intelligence, have rapidly evolved, transforming the landscape of machine learning. Inspired by the structure and function of the human brain, these computational models have demonstrated exceptional capabilities in various applications. This research paper provides a comprehensive analysis of neural networks, encompassing their historical development, architectural components, training methodologies, real-world applications, existing challenges, and future directions.

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