DEEP LEARNING

  DEEP LEARNING Deep Learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. It leverages multiple layers (hence "deep") of interconnected neurons to model complex patterns in data. This method is particularly effective for tasks involving unstructured data such as images, audio, and text. Importance of Deep Learning: - Performance: Deep learning models often outperform traditional machine learning models, especially in tasks such as image recognition, natural language processing, and speech recognition. - Automation: Reduces the need for manual feature extraction by automatically learning representations from raw data. - Scalability: Can handle vast amounts of data and leverage powerful computational resources to improve performance. - Innovation: Drives advancements in numerous fields, from healthcare and autonomous driving to entertainment and finance. Differences Between AI, ML ...