Artificial Neural Network is a revolutionary technique in the field of Artificial Intelligence.Due to Artificial Neural Networks groundbreaking developments happening in image recognition, natural language processing, and more.This paper aims to provide a basic understanding of the inner workings of neural networks.Starting with the architecture of Artificial Neural Networks, we will explore the roles of various parts of the network.The paper aims to illustrate the practical workings of Artificial Neural Networks through an example, the classification of dogs and cats using Artificial Neural Networks .By explaining the complexities of the neural network's functioning, we demonstrate how it predicts the distinction between these two common objects.Overall, this paper provides a fundamental overview of the principles behind Artificial Neural Networks, using a practical case study to highlight their working in real-world classification tasks.
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Moharkar et al. (2024) studied this question.
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