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Time Series Forecasting using TensorFlow and Deep Hybrid Learning

Using the Deep Learning variant of Deep Hybrid Learning for forecasting time series data using TensorFlow

Aditya Bhattacharya
Towards Data Science
9 min readDec 25, 2020

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Image Source : (Unsplash)

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 Hybrid Learning, I would highly recommend you to have a look at the session recording of my past session at GIDS AI/ML 2020 conference. The recording video can also be directly accessed from my youtube channel.

** Update ** If you like this article and want to support me more for my contributions for the community, please take a look at my book “Applied Machine Learning Explainability Techniques” and this is the GitHub repository which contains many hands-on tutorials on various chapters covered in the book: https://github.com/PacktPublishing/Applied-Machine-Learning-Explainability-Techniques. If you like the tutorials presented in the GitHub repository, please do fork and star

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