Time Series Forecasting using TensorFlow and Deep Hybrid Learning

 By Medium - 2020-12-25

Description

In my previous TDS article I described about the Machine Learning variant of Deep Hybrid Learning and how easily it can be applied for image data. If you are someone who is new to the concept of Deep…

Summary

  • Using the Deep Learning variant of Deep Hybrid Learning for forecasting time series data using TensorFlow In my previous TDS article I described about the Machine Learning variant of Deep Hybrid Learning and how easily it can be applied for image data.
  • We will consider the value immediately to right of the window frame as target or the true value.
  • In a similar way, we form the test and the validation dataset, which is typically required for a machine learning prediction model.
  • At the end of the article I will give some hint of how to handle this to make the model better, but we can see the model loss is decreasing with more training time, which is a good indication that the model is learning.

 

Topics

  1. Machine_Learning (0.4)
  2. Backend (0.31)
  3. NLP (0.1)

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