Evaluating Current and Future AI Technologies and Frameworks

Artificial Intelligence
  • 13 Videos | 45m 7s
  • Includes Assessment
  • Earns a Badge
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Solid knowledge of the AI technology landscape is fundamental in choosing the right tools to use as an AI Architect. In this course, you'll explore the current and future AI technology landscape, comparing the advantages and disadvantages of common AI platforms and frameworks. You'll move on to examine AI libraries and pre-trained models, distinguishing their advantages and disadvantages. You'll then classify AI datasets and see a list of dataset topics. Finally, You'll learn how to make informed decisions about which AI technology is best suited to your projects.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    compare and contrast AI platforms, frameworks, libraries, pre-trained models, and datasets
    recognize the key features and advantages/disadvantages of common AI platforms
    identify the TensorFlow framework and distinguish its advantages/disadvantages
    identify the Keras framework and distinguish its advantages/disadvantages
    identify the PyTorch framework and distinguish its advantages/disadvantages
    identify the MXNet framework and distinguish its advantages/disadvantages
  • identify the CNTK framework and distinguish its advantages/disadvantages
    identify the Cortex framework and explore its key features
    examine AI libraries and identify their advantages/disadvantages
    recognize pre-trained models and distinguish their advantages/disadvantages
    classify AI datasets and recognize a list of dataset topics
    summarize the key concepts covered in this course

IN THIS COURSE

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