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강의 계획서 보기

배우게 될 기술

Forecasting, Machine Learning, Tensorflow, Time Series, prediction

검토

4.6(924개의 평가)
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    688 ratings
  • 4 stars
    165 ratings
  • 3 stars
    48 ratings
  • 2 stars
    9 ratings
  • 1 star
    14 ratings
YK

Sep 30, 2019

A step by step explanation of how to use TensorFlow 2.0 for building a Neural network for sequences and time series. With detailed examples of code and of how to choose hyper-parameters.

MK

Aug 03, 2019

This was really a beautifully designed course. They didn't focused on teaching too much of thing at once but build up the base slowly and strongly for better understanding.

수업에서
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...

강사:

  • Laurence Moroney

    Laurence Moroney

    AI Advocate

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