[GRU] Applying and Understanding Gated Recurrent Unit in Python

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??

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

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.

Thank you for this.

At min 7.32 I guess W_hh is wrong

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?

heyy did can u plzz upload the notebook link?

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?