"Relu" activation function and "Adam" optimizer for Time delay neural network

I wanna design Time delay neural network, but I can't find the leaky rectified linear unit (Relu) activation function and "Adam" optimization algorithm in such type of networks (Time delay neural network).

[Image Analyst]

Not all deep learning modules are shipped with the toolbox. Did you try to search the "Add-on Explorer"?

[Abdelwahab Afifi]

I already add Deep Learning Toolbox but I don't know how to integrate the relu activation function and "Adam" optimizer within the "Time Delay neural network" structure.

As the time delay neural network is defined as follow

Net  =  timedelaynet(inputDelays,hiddenSizes,trainFcn)

where the trainFcn is limited to the folloeing types:

'trainlm'

Levenberg-Marquardt

'trainbr'

Bayesian Regularization

'trainbfg'

BFGS Quasi-Newton

'trainrp'

Resilient Backpropagation

'trainscg'

Scaled Conjugate Gradient

'traincgb'

Conjugate Gradient with Powell/Beale Restarts

'traincgf'

Fletcher-Powell Conjugate Gradient

'traincgp'

Polak-Ribiére Conjugate Gradient

'trainoss'

One Step Secant

'traingdx'

Variable Learning Rate Gradient Descent

'traingdm'

Gradient Descent with Momentum

'traingd'

Gradient Descent