artificial neural etwork

A concise exploration of artificial neural networks covering their basics, functionality, real-world applications, model types, training techniques, ethical challenges, and future research directions. This guide highlights core concepts, their historical evolution, practical usage in different sectors, comparative model analysis, optimization strategies, and sustainability concerns, concluding with key takeaways for further exploration.