Understanding Neural Networks: A Comprehensive Overview of AI Techniques

Abstract

This paper provides a comprehensive overview of neural networks, a cornerstone of artificial intelligence (AI) that has transformed various fields, including computer vision, natural language processing, and robotics. We explore the foundational concepts of neural networks, their architectures, and the training methodologies that drive their performance. The paper delves into key techniques, including feedforward networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and advanced approaches such as deep learning. We also examine the challenges and limitations associated with neural network implementation and discuss emerging trends and future directions in AI. By providing a thorough understanding of neural networks, this overview aims to equip researchers and practitioners with the knowledge necessary to leverage these powerful tools in solving complex problems.