Week 4 - A conversation with Andrew Ng

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Получаемые навыки

Forecasting, Machine Learning, Tensorflow, Time Series, prediction

Рецензии

4.7 (оценок: 4,279)

  • 5 stars
    76,32 %
  • 4 stars
    17,13 %
  • 3 stars
    4,15 %
  • 2 stars
    1,16 %
  • 1 star
    1,21 %

MI

6 июня 2020 г.

Filled StarFilled StarFilled StarFilled StarFilled Star

I really enjoyed this course, especially because it combines all different components (DNN, CONV-NET, and RNN) together in one application. I look forward to taking more courses from deeplearning.ai.

SP

4 июня 2020 г.

Filled StarFilled StarFilled StarFilled StarFilled Star

I really love this course. It's really easy to understand and systematic. please create more course about time series forecasting. Thank you very much. I've learned a lot of things from this course.

Из урока

Real-world time series data

On top of DNNs and RNNs, let's also add convolutions, and then put it all together using a real-world data series -- one which measures sunspot activity over hundreds of years, and see if we can predict using it.

Преподаватели

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    Laurence Moroney

    Instructor

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