COMPUTER FUNDAMENTALS

Detailed explanation-1: -Neural networks are a set of algorithms, modeled loosely after the human brain, that is designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw input.

Detailed explanation-2: -Deep learning is a subset of machine learning (ML), where artificial neural networks-algorithms modeled to work like the human brain-learn from large amounts of data.

Detailed explanation-3: -Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another.

Detailed explanation-4: -Neural networks and the brain One approach was to have machines mimic the way that the human brain learns. Since the brain is primarily a collection of interconnected neurons, AI researchers sought inspiration from the brain by re-creating the brain’s structure through artificial neurons.