Coding LSTMs

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Получаемые навыки

Forecasting, Machine Learning, Tensorflow, Time Series, prediction

Рецензии

4.6 (оценок: 3,562)
  • 5 stars
    75.32%
  • 4 stars
    17.77%
  • 3 stars
    4.51%
  • 2 stars
    1.12%
  • 1 star
    1.26%
MI
6 июня 2020 г.

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.

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
Recurrent Neural Networks for Time Series
Recurrent Neural networks and Long Short Term Memory networks are really useful to classify and predict on sequential data. This week we'll explore using them with time series...

Преподаватели

  • Placeholder

    Laurence Moroney

    Instructor

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