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Why Temporal Convolutional Network instead of LSTM/GRU?
TCNs exhibit longer memory than recurrent architectures with the same capacity.
Performs better than LSTM/GRU on a vast range of tasks (Seq. MNIST, Adding Problem, Copy Memory, Word-level PTB...).
Parallelism (convolutional layers), flexible receptive field size (possible to specify how far the model can see), stable gradients (backpropagation through time, vanishing gradients)...
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Keras Temporal Convolutional Network
Why Temporal Convolutional Network instead of LSTM/GRU?
Checklist
master
branchThe text was updated successfully, but these errors were encountered: