tf.FixedLenFeature
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

class tf.FixedLenFeature Configuration for parsing a fixed-length input feature. To treat sparse

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tf.RandomShuffleQueue.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.RandomShuffleQueue.__init__(capacity, min_after_dequeue, dtypes, shapes=None, names=None, seed=None, shared_name=None, name='random_shuffle_queue')

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tf.FixedLenFeature.default_value
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.FixedLenFeature.default_value Alias for field number 2

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tf.VarLenFeature.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.VarLenFeature.__repr__() Return a nicely formatted representation string

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tf.decode_json_example()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.decode_json_example(json_examples, name=None) Convert JSON-encoded Example records to binary protocol buffer strings.

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tf.FixedLengthRecordReader.restore_state()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.FixedLengthRecordReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not

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tf.QueueBase.from_list()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.QueueBase.from_list(index, queues) Create a queue using the queue reference from queues[index].

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tf.ReaderBase.reader_ref
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.ReaderBase.reader_ref Op that implements the reader.

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tf.IdentityReader.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.IdentityReader.__init__(name=None) Create a IdentityReader. Args:

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tf.WholeFileReader.reader_ref
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.WholeFileReader.reader_ref Op that implements the reader.

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