Single layer neural network

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강의 계획서 보기

배우게 될 기술

Forecasting, Machine Learning, Tensorflow, Time Series, prediction

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4.6(883개의 평가)
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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
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!

강사:

  • Laurence Moroney

    Laurence Moroney

    AI Advocate

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