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Deep learning in 5 minutes

  • Deep learning in 5 minutes

  • Class notes • 2 pages • 2023
  • Deep learning is a machine learning technique that teaches computers to learn by example: It is a subset of machine learning and one of artificial intelligence’s advanced technologies. Deep learning uses several layers within neural networks to do some of the most complex machine learning tasks without any human intervention. Deep learning architectures have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformati...
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This module was designed and written with you in mind. It is here to help you

  • This module was designed and written with you in mind. It is here to help you

  • Package deal • 4 items • 2023
  • This module was designed and written with you in mind. It is here to help you master the nature of Inquiries, Investigations and Immersion. The scope of this module permits it to be used in many different learning situations. The language used recognizes the diverse vocabulary level of students. The lessons are arranged to follow the standard seque
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Week 1 Quiz - Introduction to deep learning

  • Week 1 Quiz - Introduction to deep learning

  • Other • 4 pages • 2023
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    • Week 1 Quiz - Introduction to deep learning exam halping
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F16midterm sols v2 - Midterm Exam

  • F16midterm sols v2 - Midterm Exam

  • Exam (elaborations) • 14 pages • 2023
  • Midterm Exam
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Deep learning 2023 with comlete solution

  • Deep learning 2023 with comlete solution

  • Exam (elaborations) • 4 pages • 2023
  • What is deep learning? - an area of machine learning, focuses on deep artificial neural networks which are loosely inspired by brains. - Application: computer vision, speech recognition, natural language processing. Deep learning is a class of machine learning algorithms that:[10](pp199-200) - use a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. learn in supervised ...
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