Sequence Classification Using Deep Learning

Currently I am wokring on a Sequence Classification Using Deep Learning.

I have also looked at the example from MATLAB: Sequence Classification Using Deep Learning using japaneseVowelsTrainData

However I have some problems getting the input right with my own data.

I have x amount of secquences all with same length. A(x, 1:30) of the type double. For each sequence A(x,:) I have a classification/string B(x) = {'ClassA'} or B(x) = ('ClassA'), I am not sure wihich one to use.There are in total 6 different classification.

Question 1: I am wondering how I should create the correct sequence type to be able as input?

Question 2: For the training input I assume that the inputSize = 30; Should be based on the fixed length of the sequence. Is this correct?

Question 3: How do I create the correct format for the classification to train the model? How should I convert classification training variable?

Question 4: What should I define at the miniBatchSize as all sequences are the same length and in principle it is one data base?

Thanks you very much in advance for your feedback.