Dear Experts,
For a single LSTM layer, can anyone give me an explanation for training the LSTM network? In addition, I got confused between the Timestep and Batch size in the training dataset. For example, I have input data which are composed of 369 samples and 30 features (x(369, 30)) corresponding to the target data of 369 samples (y(369,1)). Suppose that I defined Time step = 10, 100 and Batch_size = 32.
Thank you in advance for your kind help.
Phimmasone
We will use an LSTM network fit for 1000 epochs. The weights will be updated at the end of each training epoch (batch learning) meaning that the batch size will be equal to the number of training observations
Thank you for your answers Idarmis Knight Soto . Furthermore, can I say like this the time step is a subsequence of LSTM cell learning in looping through each batch over training observations? Is it right? If no, please provide me help possibly.
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