What is Deep Learning and How Does It Work?

Deep learning is a subset of machine learning that uses artificial neural networks to process complex data and make intelligent decisions. Unlike traditional machine learning algorithms that require feature engineering, deep learning models automatically extract relevant features from raw data through multiple layers of processing.

Deep learning networks, also known as deep neural networks (DNNs), consist of:

• Input Layer: Receives raw data (e.g., images, text, audio).
• Hidden Layers: Process and transform the input through a series of weighted connections.
• Output Layer: Produces the final prediction or classification.

These networks are trained using large datasets and powerful computing resources, allowing them to perform highly complex tasks such as image recognition, natural language processing, and autonomous driving.