tf.keras.backend.separable

TensorFlow 1 version

View source on GitHub

Sets the default float type.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.set_floatx

tf.keras.backend.set_floatx(
    value
)

Used in the notebooks

Used in the tutorials
TFP Probabilistic Layers: Regression

Arguments
`value`	String; `'float16'`, `'float32'`, or `'float64'`.

Example:

tf.keras.backend.floatx()
'float32'
tf.keras.backend.set_floatx('float64')
tf.keras.backend.floatx()
'float64'
tf.keras.backend.set_floatx('float32')

Raises
`ValueError`	In case of invalid 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.keras / backend / backend.separable_conv2d

View aliases

Used in the notebooks

Arguments

Example:

Raises