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tensorflow/contrib/timeseries/README.md
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TensorFlow Time Series (TFTS) is a collection of ready-to-use classic models
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(state space, autoregressive), and flexible infrastructure for building
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-high-performance time series models whatever the architecture. It includes tools
+high-performance time series models with custom architectures. It includes tools
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for chunking and batching a series, and for saving model state across chunks,
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making use of parallel computation even when training sequential models on long
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series (using truncated backpropagation).
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