How to use 3d numeric data as an input for CNN?

i have a 3d array of size 43*7*5232 where rows indicate number of weeks and columns indicate 7 days of the week, and the pages are the 5232 users, half of the users have commited an electricity theft while the other half are normal users.

Now, how can i use these data to train with CNN?

Answer 1

[Srivardhan Gadila]

Refer to List of Deep Learning Layers to get an idea of all deep learning layers available in MATLAB. You can start by using imageInputLayer or other Input Layers available followed by Convolution and Fully Connected Layers or other intermediate layers and finally classificationLayer as the Output Layer.

Refer to Sequence Classification Using Deep Learning, Create Simple Deep Learning Network for Classification & Deep Learning Toolbox.