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tf.math.special.bessel_j1 Computes the Bessel j1 function of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.bessel_j1
tf.math.special.bessel_j1(
x, name=None
)
Modified Bessel function of order 1.
tf.math.special.bessel_j1([0.5, 1., 2... | tensorflow.math.special.bessel_j1 |
tf.math.special.bessel_k0 Computes the Bessel k0 function of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.bessel_k0
tf.math.special.bessel_k0(
x, name=None
)
Modified Bessel function of order 0. It is preferable to use the numericall... | tensorflow.math.special.bessel_k0 |
tf.math.special.bessel_k0e Computes the Bessel k0e function of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.bessel_k0e
tf.math.special.bessel_k0e(
x, name=None
)
Modified Bessel function of order 0.
tf.math.special.bessel_k0e([0.5, ... | tensorflow.math.special.bessel_k0e |
tf.math.special.bessel_k1 Computes the Bessel k1 function of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.bessel_k1
tf.math.special.bessel_k1(
x, name=None
)
Modified Bessel function of order 1. It is preferable to use the numericall... | tensorflow.math.special.bessel_k1 |
tf.math.special.bessel_k1e Computes the Bessel k1e function of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.bessel_k1e
tf.math.special.bessel_k1e(
x, name=None
)
Modified Bessel function of order 1.
tf.math.special.bessel_k1e([0.5, ... | tensorflow.math.special.bessel_k1e |
tf.math.special.bessel_y0 Computes the Bessel y0 function of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.bessel_y0
tf.math.special.bessel_y0(
x, name=None
)
Modified Bessel function of order 0.
tf.math.special.bessel_y0([0.5, 1., 2... | tensorflow.math.special.bessel_y0 |
tf.math.special.bessel_y1 Computes the Bessel y1 function of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.bessel_y1
tf.math.special.bessel_y1(
x, name=None
)
Modified Bessel function of order 1.
tf.math.special.bessel_y1([0.5, 1., 2... | tensorflow.math.special.bessel_y1 |
tf.math.special.dawsn Computes Dawson's integral of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.dawsn
tf.math.special.dawsn(
x, name=None
)
Dawson's integral is defined as exp(-x**2) times the integral of exp(t**2) from 0 to x, with... | tensorflow.math.special.dawsn |
tf.math.special.expint Computes the Exponential integral of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.expint
tf.math.special.expint(
x, name=None
)
The Exponential integral is defined as the integral of exp(t) / t from -inf to x, ... | tensorflow.math.special.expint |
tf.math.special.fresnel_cos Computes Fresnel's cosine integral of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.fresnel_cos
tf.math.special.fresnel_cos(
x, name=None
)
The Fresnel cosine integral is defined as the integral of cos(t^2)... | tensorflow.math.special.fresnel_cos |
tf.math.special.fresnel_sin Computes Fresnel's sine integral of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.fresnel_sin
tf.math.special.fresnel_sin(
x, name=None
)
The Fresnel sine integral is defined as the integral of sin(t^2) fro... | tensorflow.math.special.fresnel_sin |
tf.math.special.spence Computes Spence's integral of x element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.special.spence
tf.math.special.spence(
x, name=None
)
Spence's integral is defined as the integral of log(t) / (1 - t) from 1 to x, with the do... | tensorflow.math.special.spence |
tf.math.sqrt View source on GitHub Computes element-wise square root of the input tensor. View aliases Main aliases
tf.sqrt Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.sqrt, tf.compat.v1.sqrt
tf.math.sqrt(
x, name=None
)
Note: This operation does not support in... | tensorflow.math.sqrt |
tf.math.square Computes square of x element-wise. View aliases Main aliases
tf.square Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.square, tf.compat.v1.square
tf.math.square(
x, name=None
)
I.e., \(y = x * x = x^2\).
tf.math.square([-2., 0., 3.])
<tf.Tensor: shape=(3... | tensorflow.math.square |
tf.math.squared_difference Returns conj(x - y)(x - y) element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.squared_difference, tf.compat.v1.squared_difference
tf.math.squared_difference(
x, y, name=None
)
Note: math.squared_difference supports broadc... | tensorflow.math.squared_difference |
tf.math.subtract View source on GitHub Returns x - y element-wise. View aliases Main aliases
tf.subtract Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.subtract, tf.compat.v1.subtract
tf.math.subtract(
x, y, name=None
)
Note: Subtract supports broadcasting. More a... | tensorflow.math.subtract |
tf.math.tan Computes tan of x element-wise. View aliases Main aliases
tf.tan Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.tan, tf.compat.v1.tan
tf.math.tan(
x, name=None
)
Given an input tensor, this function computes tangent of every element in the tensor. Input range ... | tensorflow.math.tan |
tf.math.tanh Computes hyperbolic tangent of x element-wise. View aliases Main aliases
tf.nn.tanh, tf.tanh Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.tanh, tf.compat.v1.nn.tanh, tf.compat.v1.tanh
tf.math.tanh(
x, name=None
)
Given an input tensor, this function compute... | tensorflow.math.tanh |
tf.math.top_k View source on GitHub Finds values and indices of the k largest entries for the last dimension. View aliases Main aliases
tf.nn.top_k Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.top_k, tf.compat.v1.nn.top_k
tf.math.top_k(
input, k=1, sorted=True, na... | tensorflow.math.top_k |
tf.math.truediv View source on GitHub Divides x / y elementwise (using Python 3 division operator semantics). View aliases Main aliases
tf.truediv Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.truediv, tf.compat.v1.truediv
tf.math.truediv(
x, y, name=None
)
Note:... | tensorflow.math.truediv |
tf.math.unsorted_segment_max Computes the maximum along segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.unsorted_segment_max, tf.compat.v1.unsorted_segment_max
tf.math.unsorted_segment_max(
data, segment_ids, num_segments, name=None
)
R... | tensorflow.math.unsorted_segment_max |
tf.math.unsorted_segment_mean View source on GitHub Computes the mean along segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.unsorted_segment_mean, tf.compat.v1.unsorted_segment_mean
tf.math.unsorted_segment_mean(
data, segment_ids... | tensorflow.math.unsorted_segment_mean |
tf.math.unsorted_segment_min Computes the minimum along segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.unsorted_segment_min, tf.compat.v1.unsorted_segment_min
tf.math.unsorted_segment_min(
data, segment_ids, num_segments, name=None
)
R... | tensorflow.math.unsorted_segment_min |
tf.math.unsorted_segment_prod Computes the product along segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.unsorted_segment_prod, tf.compat.v1.unsorted_segment_prod
tf.math.unsorted_segment_prod(
data, segment_ids, num_segments, name=None
... | tensorflow.math.unsorted_segment_prod |
tf.math.unsorted_segment_sqrt_n View source on GitHub Computes the sum along segments of a tensor divided by the sqrt(N). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.unsorted_segment_sqrt_n, tf.compat.v1.unsorted_segment_sqrt_n
tf.math.unsorted_segment... | tensorflow.math.unsorted_segment_sqrt_n |
tf.math.unsorted_segment_sum Computes the sum along segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.unsorted_segment_sum, tf.compat.v1.unsorted_segment_sum
tf.math.unsorted_segment_sum(
data, segment_ids, num_segments, name=None
)
Read ... | tensorflow.math.unsorted_segment_sum |
tf.math.xdivy Returns 0 if x == 0, and x / y otherwise, elementwise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.xdivy
tf.math.xdivy(
x, y, name=None
)
Args
x A Tensor. Must be one of the following types: half, float32, float64, complex64, complex... | tensorflow.math.xdivy |
tf.math.xlog1py Compute x * log1p(y). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.xlog1py
tf.math.xlog1py(
x, y, name=None
)
Given x and y, compute x * log1p(y). This function safely returns zero when x = 0, no matter what the value of y is. Example:
tf.m... | tensorflow.math.xlog1py |
tf.math.xlogy Returns 0 if x == 0, and x * log(y) otherwise, elementwise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.xlogy
tf.math.xlogy(
x, y, name=None
)
Args
x A Tensor. Must be one of the following types: half, float32, float64, complex64, co... | tensorflow.math.xlogy |
tf.math.zero_fraction View source on GitHub Returns the fraction of zeros in value. View aliases Main aliases
tf.nn.zero_fraction Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.zero_fraction, tf.compat.v1.nn.zero_fraction
tf.math.zero_fraction(
value, name=None
)
I... | tensorflow.math.zero_fraction |
tf.math.zeta Compute the Hurwitz zeta function \(\zeta(x, q)\). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.zeta, tf.compat.v1.zeta
tf.math.zeta(
x, q, name=None
)
The Hurwitz zeta function is defined as: \(\zeta(x, q) = \sum_{n=0}^{\infty} (q + n)^{-x}\... | tensorflow.math.zeta |
tf.meshgrid View source on GitHub Broadcasts parameters for evaluation on an N-D grid. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.meshgrid
tf.meshgrid(
*args, **kwargs
)
Given N one-dimensional coordinate arrays *args, returns a list outputs of N-D coor... | tensorflow.meshgrid |
Module: tf.mixed_precision Public API for tf.mixed_precision namespace. Modules experimental module: Public API for tf.mixed_precision.experimental namespace. | tensorflow.mixed_precision |
Module: tf.mixed_precision.experimental Public API for tf.mixed_precision.experimental namespace. Classes class DynamicLossScale: Loss scale that dynamically adjusts itself. class FixedLossScale: Loss scale with a fixed value. class LossScale: Base class for all TF1 loss scales. | tensorflow.mixed_precision.experimental |
tf.mixed_precision.experimental.DynamicLossScale Loss scale that dynamically adjusts itself. Inherits From: LossScale View aliases Main aliases
tf.train.experimental.DynamicLossScale Compat aliases for migration See Migration guide for more details. tf.compat.v1.mixed_precision.DynamicLossScale, tf.compat.v1.mixed_p... | tensorflow.mixed_precision.experimental.dynamiclossscale |
tf.mixed_precision.experimental.FixedLossScale Loss scale with a fixed value. Inherits From: LossScale View aliases Main aliases
tf.train.experimental.FixedLossScale Compat aliases for migration See Migration guide for more details. tf.compat.v1.mixed_precision.FixedLossScale, tf.compat.v1.mixed_precision.experiment... | tensorflow.mixed_precision.experimental.fixedlossscale |
tf.mixed_precision.experimental.LossScale Base class for all TF1 loss scales. View aliases Main aliases
tf.train.experimental.LossScale Compat aliases for migration See Migration guide for more details. tf.compat.v1.mixed_precision.LossScale, tf.compat.v1.mixed_precision.experimental.LossScale, tf.compat.v1.train.ex... | tensorflow.mixed_precision.experimental.lossscale |
Module: tf.mlir Public API for tf.mlir namespace. Modules experimental module: Public API for tf.mlir.experimental namespace. | tensorflow.mlir |
Module: tf.mlir.experimental Public API for tf.mlir.experimental namespace. Functions convert_function(...): Import a ConcreteFunction and convert it to a textual MLIR module. convert_graph_def(...): Import a GraphDef and convert it to a textual MLIR module. | tensorflow.mlir.experimental |
tf.mlir.experimental.convert_function Import a ConcreteFunction and convert it to a textual MLIR module. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.mlir.experimental.convert_function
tf.mlir.experimental.convert_function(
concrete_function, pass_pipeline='tf-st... | tensorflow.mlir.experimental.convert_function |
tf.mlir.experimental.convert_graph_def Import a GraphDef and convert it to a textual MLIR module. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.mlir.experimental.convert_graph_def
tf.mlir.experimental.convert_graph_def(
graph_def, pass_pipeline='tf-standard-pipeli... | tensorflow.mlir.experimental.convert_graph_def |
tf.Module View source on GitHub Base neural network module class. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.Module
tf.Module(
name=None
)
A module is a named container for tf.Variables, other tf.Modules and functions which apply to user input. For exam... | tensorflow.module |
tf.name_scope View source on GitHub A context manager for use when defining a Python op.
tf.name_scope(
name
)
This context manager pushes a name scope, which will make the name of all operations added within it have a prefix. For example, to define a new Python op called my_op: def my_op(a, b, c, name=Non... | tensorflow.name_scope |
Module: tf.nest Public API for tf.nest namespace. Functions assert_same_structure(...): Asserts that two structures are nested in the same way. flatten(...): Returns a flat list from a given nested structure. is_nested(...): Returns true if its input is a collections.abc.Sequence (except strings). map_structure(...): A... | tensorflow.nest |
tf.nest.assert_same_structure View source on GitHub Asserts that two structures are nested in the same way. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nest.assert_same_structure
tf.nest.assert_same_structure(
nest1, nest2, check_types=True, expand_compos... | tensorflow.nest.assert_same_structure |
tf.nest.flatten View source on GitHub Returns a flat list from a given nested structure. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nest.flatten
tf.nest.flatten(
structure, expand_composites=False
)
If nest is not a structure , tuple (or a namedtuple), ... | tensorflow.nest.flatten |
tf.nest.is_nested View source on GitHub Returns true if its input is a collections.abc.Sequence (except strings). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nest.is_nested
tf.nest.is_nested(
seq
)
Args
seq an input sequence.
Returns T... | tensorflow.nest.is_nested |
tf.nest.map_structure View source on GitHub Applies func to each entry in structure and returns a new structure. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nest.map_structure
tf.nest.map_structure(
func, *structure, **kwargs
)
Applies func(x[0], x[1], .... | tensorflow.nest.map_structure |
tf.nest.pack_sequence_as View source on GitHub Returns a given flattened sequence packed into a given structure. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nest.pack_sequence_as
tf.nest.pack_sequence_as(
structure, flat_sequence, expand_composites=False
... | tensorflow.nest.pack_sequence_as |
Module: tf.nn Wrappers for primitive Neural Net (NN) Operations. Classes class RNNCellDeviceWrapper: Operator that ensures an RNNCell runs on a particular device. class RNNCellDropoutWrapper: Operator adding dropout to inputs and outputs of the given cell. class RNNCellResidualWrapper: RNNCell wrapper that ensures cell... | tensorflow.nn |
tf.nn.atrous_conv2d View source on GitHub Atrous convolution (a.k.a. convolution with holes or dilated convolution). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.atrous_conv2d
tf.nn.atrous_conv2d(
value, filters, rate, padding, name=None
)
This functio... | tensorflow.nn.atrous_conv2d |
tf.nn.atrous_conv2d_transpose View source on GitHub The transpose of atrous_conv2d. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.atrous_conv2d_transpose
tf.nn.atrous_conv2d_transpose(
value, filters, output_shape, rate, padding, name=None
)
This operat... | tensorflow.nn.atrous_conv2d_transpose |
tf.nn.avg_pool View source on GitHub Performs the avg pooling on the input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.avg_pool_v2
tf.nn.avg_pool(
input, ksize, strides, padding, data_format=None, name=None
)
Each entry in output is the mean of the c... | tensorflow.nn.avg_pool |
tf.nn.avg_pool1d View source on GitHub Performs the average pooling on the input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.avg_pool1d
tf.nn.avg_pool1d(
input, ksize, strides, padding, data_format='NWC', name=None
)
Each entry in output is the mean ... | tensorflow.nn.avg_pool1d |
tf.nn.avg_pool2d Performs the average pooling on the input.
tf.nn.avg_pool2d(
input, ksize, strides, padding, data_format='NHWC', name=None
)
Each entry in output is the mean of the corresponding size ksize window in value.
Args
input A 4-D Tensor of shape [batch, height, width, channels] and type float3... | tensorflow.nn.avg_pool2d |
tf.nn.avg_pool3d View source on GitHub Performs the average pooling on the input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.avg_pool3d
tf.nn.avg_pool3d(
input, ksize, strides, padding, data_format='NDHWC', name=None
)
Each entry in output is the mea... | tensorflow.nn.avg_pool3d |
tf.nn.batch_normalization View source on GitHub Batch normalization. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.batch_normalization
tf.nn.batch_normalization(
x, mean, variance, offset, scale, variance_epsilon, name=None
)
Normalizes a tensor by me... | tensorflow.nn.batch_normalization |
tf.nn.batch_norm_with_global_normalization View source on GitHub Batch normalization.
tf.nn.batch_norm_with_global_normalization(
input, mean, variance, beta, gamma, variance_epsilon, scale_after_normalization,
name=None
)
This op is deprecated. See tf.nn.batch_normalization.
Args
input A 4D i... | tensorflow.nn.batch_norm_with_global_normalization |
tf.nn.bias_add View source on GitHub Adds bias to value. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.bias_add
tf.nn.bias_add(
value, bias, data_format=None, name=None
)
This is (mostly) a special case of tf.add where bias is restricted to 1-D. Broadca... | tensorflow.nn.bias_add |
tf.nn.collapse_repeated View source on GitHub Merge repeated labels into single labels. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.collapse_repeated
tf.nn.collapse_repeated(
labels, seq_length, name=None
)
Args
labels Tensor of shape [batch,... | tensorflow.nn.collapse_repeated |
tf.nn.compute_accidental_hits View source on GitHub Compute the position ids in sampled_candidates matching true_classes. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.compute_accidental_hits
tf.nn.compute_accidental_hits(
true_classes, sampled_candidate... | tensorflow.nn.compute_accidental_hits |
tf.nn.compute_average_loss View source on GitHub Scales per-example losses with sample_weights and computes their average. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.compute_average_loss
tf.nn.compute_average_loss(
per_example_loss, sample_weight=None... | tensorflow.nn.compute_average_loss |
tf.nn.conv1d View source on GitHub Computes a 1-D convolution given 3-D input and filter tensors.
tf.nn.conv1d(
input, filters, stride, padding, data_format='NWC', dilations=None,
name=None
)
Given an input tensor of shape batch_shape + [in_width, in_channels] if data_format is "NWC", or batch_shape ... | tensorflow.nn.conv1d |
tf.nn.conv1d_transpose View source on GitHub The transpose of conv1d. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.conv1d_transpose
tf.nn.conv1d_transpose(
input, filters, output_shape, strides, padding='SAME',
data_format='NWC', dilations=None, nam... | tensorflow.nn.conv1d_transpose |
tf.nn.conv2d View source on GitHub Computes a 2-D convolution given input and 4-D filters tensors.
tf.nn.conv2d(
input, filters, strides, padding, data_format='NHWC', dilations=None,
name=None
)
The input tensor may have rank 4 or higher, where shape dimensions [:-3] are considered batch dimensions (ba... | tensorflow.nn.conv2d |
tf.nn.conv2d_transpose View source on GitHub The transpose of conv2d.
tf.nn.conv2d_transpose(
input, filters, output_shape, strides, padding='SAME',
data_format='NHWC', dilations=None, name=None
)
This operation is sometimes called "deconvolution" after (Zeiler et al., 2010), but is really the transpos... | tensorflow.nn.conv2d_transpose |
tf.nn.conv3d View source on GitHub Computes a 3-D convolution given 5-D input and filters tensors.
tf.nn.conv3d(
input, filters, strides, padding, data_format='NDHWC', dilations=None,
name=None
)
In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time... | tensorflow.nn.conv3d |
tf.nn.conv3d_transpose View source on GitHub The transpose of conv3d.
tf.nn.conv3d_transpose(
input, filters, output_shape, strides, padding='SAME',
data_format='NDHWC', dilations=None, name=None
)
This operation is sometimes called "deconvolution" after (Zeiler et al., 2010), but is really the transpo... | tensorflow.nn.conv3d_transpose |
tf.nn.convolution View source on GitHub Computes sums of N-D convolutions (actually cross-correlation).
tf.nn.convolution(
input, filters, strides=None, padding='VALID', data_format=None,
dilations=None, name=None
)
This also supports either output striding via the optional strides parameter or atrous ... | tensorflow.nn.convolution |
tf.nn.conv_transpose View source on GitHub The transpose of convolution. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.conv_transpose
tf.nn.conv_transpose(
input, filters, output_shape, strides, padding='SAME',
data_format=None, dilations=None, name=... | tensorflow.nn.conv_transpose |
tf.nn.crelu View source on GitHub Computes Concatenated ReLU.
tf.nn.crelu(
features, axis=-1, name=None
)
Concatenates a ReLU which selects only the positive part of the activation with a ReLU which selects only the negative part of the activation. Note that as a result this non-linearity doubles the depth... | tensorflow.nn.crelu |
tf.nn.ctc_beam_search_decoder View source on GitHub Performs beam search decoding on the logits given in input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.ctc_beam_search_decoder_v2
tf.nn.ctc_beam_search_decoder(
inputs, sequence_length, beam_width=10... | tensorflow.nn.ctc_beam_search_decoder |
tf.nn.ctc_greedy_decoder View source on GitHub Performs greedy decoding on the logits given in input (best path). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.ctc_greedy_decoder
tf.nn.ctc_greedy_decoder(
inputs, sequence_length, merge_repeated=True
)
... | tensorflow.nn.ctc_greedy_decoder |
tf.nn.ctc_loss View source on GitHub Computes CTC (Connectionist Temporal Classification) loss.
tf.nn.ctc_loss(
labels, logits, label_length, logit_length, logits_time_major=True, unique=None,
blank_index=None, name=None
)
This op implements the CTC loss as presented in (Graves et al., 2006). Notes: S... | tensorflow.nn.ctc_loss |
tf.nn.ctc_unique_labels View source on GitHub Get unique labels and indices for batched labels for tf.nn.ctc_loss. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.ctc_unique_labels
tf.nn.ctc_unique_labels(
labels, name=None
)
For use with tf.nn.ctc_loss o... | tensorflow.nn.ctc_unique_labels |
tf.nn.depthwise_conv2d View source on GitHub Depthwise 2-D convolution.
tf.nn.depthwise_conv2d(
input, filter, strides, padding, data_format=None, dilations=None, name=None
)
Given a 4D input tensor ('NHWC' or 'NCHW' data formats) and a filter tensor of shape [filter_height, filter_width, in_channels, chan... | tensorflow.nn.depthwise_conv2d |
tf.nn.depthwise_conv2d_backprop_filter View source on GitHub Computes the gradients of depthwise convolution with respect to the filter. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.depthwise_conv2d_backprop_filter, tf.compat.v1.nn.depthwise_conv2d_native_bac... | tensorflow.nn.depthwise_conv2d_backprop_filter |
tf.nn.depthwise_conv2d_backprop_input View source on GitHub Computes the gradients of depthwise convolution with respect to the input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.depthwise_conv2d_backprop_input, tf.compat.v1.nn.depthwise_conv2d_native_backpr... | tensorflow.nn.depthwise_conv2d_backprop_input |
tf.nn.depth_to_space View source on GitHub DepthToSpace for tensors of type T.
tf.nn.depth_to_space(
input, block_size, data_format='NHWC', name=None
)
Rearranges data from depth into blocks of spatial data. This is the reverse transformation of SpaceToDepth. More specifically, this op outputs a copy of th... | tensorflow.nn.depth_to_space |
tf.nn.dilation2d View source on GitHub Computes the grayscale dilation of 4-D input and 3-D filters tensors.
tf.nn.dilation2d(
input, filters, strides, padding, data_format, dilations, name=None
)
The input tensor has shape [batch, in_height, in_width, depth] and the filters tensor has shape [filter_height... | tensorflow.nn.dilation2d |
tf.nn.dropout View source on GitHub Computes dropout: randomly sets elements to zero to prevent overfitting.
tf.nn.dropout(
x, rate, noise_shape=None, seed=None, name=None
)
Note: The behavior of dropout has changed between TensorFlow 1.x and 2.x. When converting 1.x code, please use named arguments to en... | tensorflow.nn.dropout |
tf.nn.elu Computes exponential linear: exp(features) - 1 if < 0, features otherwise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.elu
tf.nn.elu(
features, name=None
)
See Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Args
... | tensorflow.nn.elu |
tf.nn.embedding_lookup View source on GitHub Looks up embeddings for the given ids from a list of tensors.
tf.nn.embedding_lookup(
params, ids, max_norm=None, name=None
)
This function is used to perform parallel lookups on the list of tensors in params. It is a generalization of tf.gather, where params is... | tensorflow.nn.embedding_lookup |
tf.nn.embedding_lookup_sparse View source on GitHub Looks up embeddings for the given ids and weights from a list of tensors.
tf.nn.embedding_lookup_sparse(
params, sp_ids, sp_weights, combiner=None, max_norm=None, name=None
)
This op assumes that there is at least one id for each row in the dense tensor r... | tensorflow.nn.embedding_lookup_sparse |
tf.nn.erosion2d View source on GitHub Computes the grayscale erosion of 4-D value and 3-D filters tensors.
tf.nn.erosion2d(
value, filters, strides, padding, data_format, dilations, name=None
)
The value tensor has shape [batch, in_height, in_width, depth] and the filters tensor has shape [filters_height, ... | tensorflow.nn.erosion2d |
tf.nn.fractional_avg_pool View source on GitHub Performs fractional average pooling on the input.
tf.nn.fractional_avg_pool(
value, pooling_ratio, pseudo_random=False, overlapping=False, seed=0, name=None
)
Fractional average pooling is similar to Fractional max pooling in the pooling region generation ste... | tensorflow.nn.fractional_avg_pool |
tf.nn.fractional_max_pool View source on GitHub Performs fractional max pooling on the input.
tf.nn.fractional_max_pool(
value, pooling_ratio, pseudo_random=False, overlapping=False, seed=0, name=None
)
Fractional max pooling is slightly different than regular max pooling. In regular max pooling, you downs... | tensorflow.nn.fractional_max_pool |
tf.nn.gelu Compute the Gaussian Error Linear Unit (GELU) activation function.
tf.nn.gelu(
features, approximate=False, name=None
)
Gaussian error linear unit (GELU) computes x * P(X <= x), where P(X) ~ N(0, 1). The (GELU) nonlinearity weights inputs by their value, rather than gates inputs by their sign as in ReL... | tensorflow.nn.gelu |
tf.nn.isotonic_regression Solves isotonic regression problems along the given axis.
tf.nn.isotonic_regression(
inputs, decreasing=True, axis=-1
)
For each vector x, the problem solved is $$\argmin_{y_1 >= y_2 >= ... >= y_n} \sum_i (x_i - y_i)^2.$$ As the solution is component-wise constant, a second tensor is... | tensorflow.nn.isotonic_regression |
tf.nn.l2_loss L2 Loss. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.l2_loss
tf.nn.l2_loss(
t, name=None
)
Computes half the L2 norm of a tensor without the sqrt: output = sum(t ** 2) / 2
Args
t A Tensor. Must be one of the following types: half, bfl... | tensorflow.nn.l2_loss |
tf.nn.leaky_relu View source on GitHub Compute the Leaky ReLU activation function. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.leaky_relu
tf.nn.leaky_relu(
features, alpha=0.2, name=None
)
Source: Rectifier Nonlinearities Improve Neural Network Acoust... | tensorflow.nn.leaky_relu |
tf.nn.local_response_normalization Local Response Normalization. View aliases Main aliases
tf.nn.lrn Compat aliases for migration See Migration guide for more details. tf.compat.v1.nn.local_response_normalization, tf.compat.v1.nn.lrn
tf.nn.local_response_normalization(
input, depth_radius=5, bias=1, alpha=1, b... | tensorflow.nn.local_response_normalization |
tf.nn.log_poisson_loss View source on GitHub Computes log Poisson loss given log_input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.log_poisson_loss
tf.nn.log_poisson_loss(
targets, log_input, compute_full_loss=False, name=None
)
Gives the log-likelih... | tensorflow.nn.log_poisson_loss |
tf.nn.log_softmax View source on GitHub Computes log softmax activations. View aliases Main aliases
tf.math.log_softmax
tf.nn.log_softmax(
logits, axis=None, name=None
)
For each batch i and class j we have logsoftmax = logits - log(reduce_sum(exp(logits), axis))
Args
logits A non-empty Tenso... | tensorflow.nn.log_softmax |
tf.nn.max_pool View source on GitHub Performs the max pooling on the input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.max_pool_v2
tf.nn.max_pool(
input, ksize, strides, padding, data_format=None, name=None
)
Args
input Tensor of rank N+2, o... | tensorflow.nn.max_pool |
tf.nn.max_pool1d View source on GitHub Performs the max pooling on the input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.max_pool1d
tf.nn.max_pool1d(
input, ksize, strides, padding, data_format='NWC', name=None
)
Note internally this op reshapes and ... | tensorflow.nn.max_pool1d |
tf.nn.max_pool2d View source on GitHub Performs the max pooling on the input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.max_pool2d
tf.nn.max_pool2d(
input, ksize, strides, padding, data_format='NHWC', name=None
)
Args
input A 4-D Tensor of ... | tensorflow.nn.max_pool2d |
tf.nn.max_pool3d View source on GitHub Performs the max pooling on the input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.max_pool3d
tf.nn.max_pool3d(
input, ksize, strides, padding, data_format='NDHWC', name=None
)
Args
input A 5-D Tensor of... | tensorflow.nn.max_pool3d |
tf.nn.max_pool_with_argmax View source on GitHub Performs max pooling on the input and outputs both max values and indices.
tf.nn.max_pool_with_argmax(
input, ksize, strides, padding, data_format='NHWC',
output_dtype=tf.dtypes.int64, include_batch_in_index=False, name=None
)
The indices in argmax are f... | tensorflow.nn.max_pool_with_argmax |
tf.nn.moments View source on GitHub Calculates the mean and variance of x.
tf.nn.moments(
x, axes, shift=None, keepdims=False, name=None
)
The mean and variance are calculated by aggregating the contents of x across axes. If x is 1-D and axes = [0] this is just the mean and variance of a vector.
Note: shi... | tensorflow.nn.moments |
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