I am implementing a Sequence-to-Sequence Classification. As an example here it is the documentation from mathworks:
Exploring the various fields of the function trainingOptions i have a doubt about the definition of the 'MiniBatchSize' and the training sample definition. If i have 8 sequences of 2000 time samples each which are considered training samples for the mini-batch?
- the 8 sequences, so if i define a minibatch of 1 i will feed the networks with 2000 samples each training iteration.
- the 2000×8 samples, so if i define a minibatch of 100 i will feed the networks with 100 time samples at each iteration.
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