Deep Learning
Deep Learning goes beyond Machine Learning by creating more complex hierarchical models designed to mimic how humans learn new information.
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What is deep learning?
Deep learning is a subset of machine learning, which in turn is a subset of artificial intelligence. To enable machines to think, Machine Learning focuses on how they can learn without being explicitly programmed. Deep Learning goes beyond Machine Learning by creating more complex hierarchical models designed to mimic how humans learn new information.
In the context of artificial intelligence and machine learning, a model is a mathematical algorithm that is trained to arrive at the same result or prediction as a human person given the same information. In Deep Learning, the algorithms are inspired by the structure of the human brain and are called neural networks. These neural networks are made up of interconnected network switches that are designed to learn to recognize patterns in the same way as the human brain and nervous system.
Many of the recent advances in artificial intelligence have been made possible by Deep Learning. From recommendations for streaming services to voice assistants to autonomous driving, the ability to recognize patterns and classify many different types of information is critical for processing large amounts of data with little or no human input.
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