tf.keras.metrics.TrueNegatives

TensorFlow 1 version

Keras mixed precision API.

See the mixed precision guide to learn how to use the API.

Modules

experimental module: Public API for tf.keras.mixed_precision.experimental namespace.

Classes

class LossScaleOptimizer: An optimizer that applies loss scaling to prevent numeric underflow.

class Policy: A dtype policy for a Keras layer.

Functions

global_policy(...): Returns the global dtype policy.

set_global_policy(...): Sets the global dtype policy.

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.keras / metrics / metrics.TrueNegatives

Modules

Classes

Functions