Deep Learning
Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers for representation learning. The term "deep" in deep learning refers to the use of these multiple layers in the network. It simulates the human brain and enables systems to learn to identify objects and perform complex tasks with increasing accuracy without human intervention. Deep learning eliminates some of the data pre-processing typically involved in machine learning and can process unstructured data like text and images, automating feature extraction. It is a method in artificial intelligence that teaches computers to process data in a way inspired by the human brain and is a critical component of emerging technologies such as self-driving cars and virtual reality. Deep learning requires substantial computing power and large amounts of labeled data, and it is being used in various applications such as driverless cars, automated hearing and speech translation, and digital assistants. Deep learning enables a computer to learn by example and is an important element of data science, making the process of collecting, analyzing, and interpreting large amounts of data faster and easier.
