What Are Neural Networks And Convolutional, How Do They Work?

Neural Networks are computer systems designed to mimic the human brain, and are a crucial aspect of artificial intelligence (AI) and machine learning (ML). They are composed of interconnected processing elements or ‘nodes’, which facilitate pattern recognition and help AI systems to improve their operations over time. Neural Networks have become a cornerstone of many contemporary technologies, with applications ranging from image recognition to natural language processing. Convolutional Neural Networks (CNNs) are used for image recognition, while Natural Language Processing (NLP) enables machines to understand and generate human language.