Deep learning (DL) is a subset of machine learning (ML) that uses artificial neural networks to learn from data. Neural networks are inspired by the structure and function of the human brain, and they're able to learn complex patterns from data that would be difficult or impossible for traditional ML algorithms to learn. DL models are typically trained on very large datasets, and they can be used to solve a wide variety of problems, including: Image recognition: DL models can be used to identify objects and faces in images. Natural language processing (NLP): DL models can be used to understand and generate human language. Machine translation: DL models can be used to translate text from......See More