Neural networks are computing systems inspired by the biological neural networks that constitute animal brains. They are a subset of machine learning and artificial intelligence. Key Characteristics / Core Concepts Artificial Neurons: These are the fundamental processing units, mimicking biological neurons. They receive input, perform calculations, and produce output. Layers: Neural networks are organized into … Read more
Deep learning is a subfield of machine learning that uses artificial neural networks with multiple layers (hence “deep”) to analyze data and extract complex patterns. It’s a powerful technique used to build sophisticated AI systems. Key Characteristics / Core Concepts Uses artificial neural networks with many layers. Learns from large datasets without explicit programming. Can … Read more
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. Key Characteristics / Core Concepts Machine Learning: AI systems learn from data without explicit programming. Deep Learning: A subset of machine learning using artificial neural networks with multiple layers. Natural Language Processing (NLP): … Read more