Data Science

Deep Neural Networks with PyTorch

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Master the implementation of deep learning algorithms using PyTorch, covering Deep Neural Networks and machine learning techniques, along with Python library utilization, to construct and deploy deep neural networks effectively.

Key AI Functions:PyTorch, Deep Neural Networks, Python libraries, Deep Learning

Description for Deep Neural Networks with PyTorch

  • Demonstrate your understanding of deep learning algorithms and their implementation using Pytorch.
  • Describe and implement an understanding of Deep Neural Networks and associated machine learning techniques.
  • Explain the process of employing Python libraries, such as PyTorch, for Deep Learning applications.
  • Utilize PyTorch to construct deep neural networks.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by IBM

    Duration: 30 hours (approximately)

    Schedule: Flexible

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