Question: True / False: Truncated backpropagation through time ( TBPTT ) is necessary to reduce the computational complexity and memory usage when training Recurrent Neural Networks

True/False: Truncated backpropagation through time (TBPTT) is necessary to reduce the computational complexity and memory usage when training Recurrent Neural Networks (RNNs) or LSTMs by limiting the number of time steps over which gradients are propagated.

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