2 docs tagged with "Deep Learning"

Artificial Neural Networks (ANNs) are computing systems inspired by the biological neural networks that constitute animal brains. They are a key component of deep learning and machine learning. ANNs consist of interconnected layers of nodes, called neurons, which process and transmit information. These networks are capable of learning from data, making them powerful tools for various applications.

Deep learning is a subset of machine learning and artificial intelligence (AI) that mimics the workings of the human brain in processing data and creating patterns for use in decision-making. It uses neural networks with many layers (hence "deep") to analyze various factors of data.