tf.train.Features

TensorFlow 1 version

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Compat aliases for migration

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tf.compat.v1.train.FloatList

Used in the notebooks

Used in the tutorials
TFRecord and tf.train.Example Graph-based Neural Structured Learning in TFX Semantic Search with Approximate Nearest Neighbors and Text Embeddings Graph regularization for sentiment classification using synthesized graphs

Attributes
`value`	`repeated float value`

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.train / Features

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Used in the notebooks

Attributes