Deep Learning 101 — Role of Deep Learning in Artificial Intelligence

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It is important to understand some basic concepts of AI, ML and Deep Learning to get a better sense of What they do and How they can be useful.

  • Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like human.
  • Machine learning (ML) is an approach to achieve Artificial Intelligence. ML approach provides computers with the ability to learn without being explicitly programmed. At its most basic is the practice of using algorithms to parse data, learn from it, and then make prediction about something in the world.
  • Deep learning (DL) is a technique for implementing Machine Learning. DL is the application of artificial neural networks to learning tasks that contain more than one hidden layer.
  • Artificial neural networks are computing systems inspired by the biological neural networks that constitute animal brains. An artificial neural network is an interconnected group of nodes, akin to the vast network of neurons in a brain. Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one neuron to the input of another.

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