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

1 次查看(过去 30 天)
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.

采纳的回答

Madhav Thakker
Madhav Thakker 2021-6-29
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.

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息

产品


版本

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by