How to build Time delay Neural network using deep learning layers?

I have built this architecture using shallow Time-Delay Neural Networks.

where X and Y are the inputs which are time series vector of real values,

Xo and yo are the predicted output.

But now, I wanna build it using Deep learning layers.

How can I do so?

Answer 1

[Raunak Gupta]

Hi Abdelwahab,

You can find lstmLayer useful for implementing above but need to figure out the proper formulation of problem statement. If you find similarity between the use case mentioned here and your’s, then you can go ahead and formulate according to the example.

[Abdelwahab Afifi]

I wanna use the layers in the following link to build the model

https://www.mathworks.com/help/deeplearning/deep-learning-with-time-series-sequences-and-text.html

then and train it using adam optimizer