Deep Learning

Deep Learning is a subset of machine learning that employs artificial neural networks to model and understand complex patterns in large amounts of data. It is inspired by the structure and function of the human brain, featuring multiple layers of interconnected nodes (neurons) that process information. Deep learning algorithms automatically learn hierarchical representations of data through training on vast datasets, allowing them to perform tasks such as image and speech recognition, natural language processing, and autonomous driving. The "deep" in deep learning refers to the use of multiple layers in the neural network, enabling the model to capture intricate features and relationships in the input data. This approach has led to significant advancements in artificial intelligence, particularly in tasks requiring high-dimensional data analysis.