Deep learningDeep Learning is an essential tool for data science andCloud Computing machine learningMachine Learning, as it allows for uncovering hidden patterns. Deep Learning (DL) is a subset of machine learningMachine Learning where multi-layered artificial neural networksNeural Network are used to simulate the complex decision-making power of the human brainBrain. The word deep in deep learning represents the many layers of neural networksNeural Network that are used to recognize patterns in data. Some form of deep learning powers most of the artificial intelligence (AI)Artificial Intelligence (AI) in our lives today. Understanding the fundamentals of deep learningDeep Learning algorithms enables the identification of appropriate problems that can be solved with deep learning, which can be applied to real-world problems. This chapter provides a brief introduction to deep learningDeep Learning. We will cover the fundamentals of deep learningDeep Learning, including its underlying workings, various architectures etc.

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Deep Learning and Cloud Computing

  • Pramod Gupta,
  • Naresh Kumar Sehgal,
  • John M. Acken

摘要

Deep learningDeep Learning is an essential tool for data science andCloud Computing machine learningMachine Learning, as it allows for uncovering hidden patterns. Deep Learning (DL) is a subset of machine learningMachine Learning where multi-layered artificial neural networksNeural Network are used to simulate the complex decision-making power of the human brainBrain. The word deep in deep learning represents the many layers of neural networksNeural Network that are used to recognize patterns in data. Some form of deep learning powers most of the artificial intelligence (AI)Artificial Intelligence (AI) in our lives today. Understanding the fundamentals of deep learningDeep Learning algorithms enables the identification of appropriate problems that can be solved with deep learning, which can be applied to real-world problems. This chapter provides a brief introduction to deep learningDeep Learning. We will cover the fundamentals of deep learningDeep Learning, including its underlying workings, various architectures etc.