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What is New in this Version?
Flexibility to Add different independent Datasets for AutoEncoder and LSTM, now these components don't necessarily have to be trained on the same images.
Ability to define independent and different batch size for AutoEncoder Training and LSTM Training.
SSIM will now act as Regularization Term along with MSE in SSIMLoss Function.
Updated and Corrected Math for MaxEnt Regularization Term.
For LSTM Training, Each Individual Sequence will now be split to create Training/Validation Datasets.