Adjusting the learning rate dynamically

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Получаемые навыки

Forecasting, Machine Learning, Tensorflow, Time Series, prediction

Рецензии

4.6 (оценок: 1,378)
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VV

Nov 26, 2019

Great course! The notebooks were a great help for understanding the material. I only wish there were auto-graded notebooks in addition to the quizzes like in some of the other courses by Andrew Ng.

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.

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

  • Laurence Moroney

    Laurence Moroney

    AI Advocate

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