Deep Learning is a specialized subset of Machine Learning that uses Artificial Neural Networks (ANNs) to process large amounts of data and make complex decisions. Inspired by the human brain, deep learning models consist of multiple layers of neurons that analyze data step by step.

The key components of Deep Learning:

Artificial Neural Networks (ANNs) – A set of layers that transform data into meaningful insights.
Convolutional Neural Networks (CNNs) – Designed for image processing (e.g., facial recognition).
Recurrent Neural Networks (RNNs) – Used for sequential data like text and speech (e.g., chatbots, voice assistants).
Transformers – Advanced models that power state-of-the-art AI (e.g., GPT, BERT).
Deep Learning is widely used in applications such as autonomous vehicles, medical diagnosis, natural language processing, and robotics.

It requires large datasets and high computational power but provides outstanding accuracy in solving real-world problems.