[GRU] Applying and Understanding Gated Recurrent Unit in Python

===== Likes: 98 👍: Dislikes: 0 👎: 100.0% : Updated on 01-21-2023 11:57:17 EST =====
A one stop shop for Gated Recurrent Unit ! From Theory to Application, look no further!
Complete with a time series example!

If you have any questions, please let me know down in the comments! I'll try my best to help you!

ADDITIONAL RESOURCES THAT I'VE USED TO HELP ME UNDERSTAND !

Understanding:

Equation Breakdowns:

Github:

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0:00 - Overview
1:00 - Gated Recurrent Unit Theory
9:35 - Gated Recurrent Unit Code Demo

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[bryanwu]

Very clear in this video, thank you for your effort.

[terryliu]

Hi Spencer, could you pls help me understand why the initial GRU prediction generated a flat line? That indicates no pattern from all the years of gold prices have been “learned” by the first GRU model? Thanks.

[zehanfarzana]

Thank you for this video. How do you split the data into training and testing set? I didn't find the step in the video.

[Sorrel]

You started with a multivariate array... then at the end I only see the univariate Y values used as X and Y... what happened to x_scaled??

[deviceticker]

Thanks for the video. I have two doubts about the Multivariate Forecasting part at the end...

1) How to inverse the MinMax scale for the prediction? I think it involves min_max_scaler.inverse_transform(), but please clarify.

2) How would you use the .predict() on the entire dataset for graphing train, test, and the future prediction?

[SitiNurHasanah-kxtx]

thank you for creating this great tutorial. But, I still confuse about how to define the number of neuron in input, hidden and output layer?

[sakethgupta]

heyy did can u plzz upload the notebook link?