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Minor wording change in timeseries module's README (#12938)

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* Minor wording change in timeseries module's README

* Address comments
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Yuan (Terry) Tang 2017-09-11 14:46:37 -05:00 committed by drpngx
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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 TensorFlow Time Series (TFTS) is a collection of ready-to-use classic models
(state space, autoregressive), and flexible infrastructure for building (state space, autoregressive), and flexible infrastructure for building
high-performance time series models whatever the architecture. It includes tools high-performance time series models with custom architectures. It includes tools
for chunking and batching a series, and for saving model state across chunks, for chunking and batching a series, and for saving model state across chunks,
making use of parallel computation even when training sequential models on long making use of parallel computation even when training sequential models on long
series (using truncated backpropagation). series (using truncated backpropagation).