Deep Learning

What is Deep Learning

Deep learning is a type of machine learning that involves the use of artificial neural networks to analyze and understand large amounts of data. It is called "deep" learning because the neural networks used in deep learning are designed to have many layers, which allows them to process data in a way that is similar to how the human brain processes information.

Deep learning is used for a variety of different tasks, such as image and speech recognition, natural language processing, and predictive modeling. It is particularly effective for tasks that involve complex data or patterns, such as recognizing objects in an image or understanding spoken language.

Deep learning algorithms are trained using large datasets and are able to improve their performance over time through a process called "learning." As the algorithm is exposed to more data, it is able to learn and adapt, becoming more accurate and efficient at completing the task it has been trained for.

Deep learning is an important and powerful tool in the field of artificial intelligence, and it has a wide range of applications in areas such as healthcare, finance, and transportation.

Deep learning trains a computer to perform human-like tasks, such as recognizing speech, identifying images, or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing.[1]

See Also



  1. Definition: What is the meaning of Deep Learning SAS