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Introduction to Deep Learning

Artificial intelligence is when machines can perform tasks that would normally require human intelligence. It includes machine learning, in which machines learn via experience and develop skills without the need for human intervention. Deep learning is a subset of machine learning. DL techniques are inspired by the human brain, learn from enormous volumes of data. The deep learning algorithm would repeat a task, modifying it slightly each time to enhance the outcome, like how we learn from experience. Because neural networks have various (deep) layers that permit learning, we refer to it as deep learning. Below are some of the applications of Deep Learning  • Self Driving Cars. • News Aggregation and Fraud News Detection. • Natural Language Processing. • Virtual Assistants. • Entertainment. • Visual Recognition. • Fraud Detection. • Healthcare. Deep learning concept was introduced by Geoffrey Hinton in the 1980s.  He did comparison of ML approaches to human brain. He created ...