How to specify matrix type response and predictor variables for a regression model

I have created a neural network with a regression output layer. My response as well as predictor data are 1000*2 matrices. Currently, I am only able to specify a single data sample to the network when I use trainNetwork, but I am not able to feed the entire dataset. I tried to solve this problem by using 3D arrays, but that is not working. Can anyone please help me out? Currently I am only able to input: trainNetwork(L1, P1, layers, options), and I have matrices ranging from L1 to L50 and similarly for P, and I want to specify all these matrices as response and predictor data respectively.

Answer 1

[Madhav Thakker]

Hi Sumedh,

I understand you want to train on more than 1 input datapoint at a time. Have a look at batching documentation to see if this helps you.

[Sumedh Soman]

Hello, Thanks a lot for the answer, the approach I followed after reading batch documentation has worked. Thanks for helping me out!