Feeding windowed dataset into neural network

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Получаемые навыки

Forecasting, Machine Learning, Tensorflow, Time Series, prediction

Рецензии

4.6 (оценок: 2,373)
  • 5 stars
    75%
  • 4 stars
    18%
  • 3 stars
    5%
  • 2 stars
    1%
  • 1 star
    1%
MI

Jun 07, 2020

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

Jun 05, 2020

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
Deep Neural Networks for Time Series
Having explored time series and some of the common attributes of time series such as trend and seasonality, and then having used statistical methods for projection, let's now begin to teach neural networks to recognize and predict on time series!

Преподаватели

  • Laurence Moroney

    Laurence Moroney

    AI Advocate

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