tensorflow - machine learning framework

	Commit message (Collapse)	Author	Age
*	Update unidirectional sequential RNN to support state API.	A. Unique TensorFlower	2018-08-29
\| \| \| \|	PiperOrigin-RevId: 210746360
*	Implementation of the unidirectional_sequence_rnn TFLite Op using the ↵	A. Unique TensorFlower	2018-05-10
\| \| \| \| \| \|	symmetric quantization. PiperOrigin-RevId: 196152754
*	Cleanup: Ran clang-format on all *.{cc,h} files in ↵	A. Unique TensorFlower	2018-01-30
\| \| \| \| \| \|	tensorflow/contrib/.../*.{hh,c}. PiperOrigin-RevId: 183855242
*	Add support for time_major shape format to the sequential RNN Op in TF Lite.	A. Unique TensorFlower	2018-01-19
\| \| \| \| \| \| \| \|	This option, if set, changes the shape format of the inputs and outputs to [max_time, batch_size, depth]. If false, it uses [batch_size, max_time, depth]. By default, it is set to false. PiperOrigin-RevId: 182569507
*	Add unidirectional sequence RNN to TFLite Ops.	A. Unique TensorFlower	2017-12-14
	PiperOrigin-RevId: 179086788