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Mastering Deep Learning — An Introduction to Neural Networks, Applications, and History

  • Deep learning is a subset of machine learning that learns features through layers in neural networks.
  • There are five popular neural network architectures that serve unique purposes.
  • Deep learning has roots dating back to the 1960s, with advancements in the 1980s and a significant breakthrough in 2012 with the AlexNet.
  • The versatile applications of deep learning include self-driving cars, virtual assistants, and image recognition.

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