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tf.keras.layers.Softmax View source on GitHub Softmax activation function. Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.Softmax
tf.keras.layers.Softmax(
axis=-1, **kwargs
)
Example without mask:
inp = np.asarray(... | tensorflow.keras.layers.softmax |
tf.keras.layers.SpatialDropout1D View source on GitHub Spatial 1D version of Dropout. Inherits From: Dropout, Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.SpatialDropout1D
tf.keras.layers.SpatialDropout1D(
rate, **kwargs
)
This ... | tensorflow.keras.layers.spatialdropout1d |
tf.keras.layers.SpatialDropout2D View source on GitHub Spatial 2D version of Dropout. Inherits From: Dropout, Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.SpatialDropout2D
tf.keras.layers.SpatialDropout2D(
rate, data_format=None,... | tensorflow.keras.layers.spatialdropout2d |
tf.keras.layers.SpatialDropout3D View source on GitHub Spatial 3D version of Dropout. Inherits From: Dropout, Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.SpatialDropout3D
tf.keras.layers.SpatialDropout3D(
rate, data_format=None,... | tensorflow.keras.layers.spatialdropout3d |
tf.keras.layers.StackedRNNCells View source on GitHub Wrapper allowing a stack of RNN cells to behave as a single cell. Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.StackedRNNCells
tf.keras.layers.StackedRNNCells(
... | tensorflow.keras.layers.stackedrnncells |
tf.keras.layers.Subtract View source on GitHub Layer that subtracts two inputs. Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.Subtract
tf.keras.layers.Subtract(
**kwargs
)
It takes as input a list of tensors of siz... | tensorflow.keras.layers.subtract |
tf.keras.layers.ThresholdedReLU View source on GitHub Thresholded Rectified Linear Unit. Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.ThresholdedReLU
tf.keras.layers.ThresholdedReLU(
theta=1.0, **kwargs
)
It follo... | tensorflow.keras.layers.thresholdedrelu |
tf.keras.layers.TimeDistributed View source on GitHub This wrapper allows to apply a layer to every temporal slice of an input. Inherits From: Wrapper, Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.TimeDistributed
tf.keras.layers.Time... | tensorflow.keras.layers.timedistributed |
tf.keras.layers.UpSampling1D View source on GitHub Upsampling layer for 1D inputs. Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.UpSampling1D
tf.keras.layers.UpSampling1D(
size=2, **kwargs
)
Repeats each temporal s... | tensorflow.keras.layers.upsampling1d |
tf.keras.layers.UpSampling2D View source on GitHub Upsampling layer for 2D inputs. Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.UpSampling2D
tf.keras.layers.UpSampling2D(
size=(2, 2), data_format=None, interpolatio... | tensorflow.keras.layers.upsampling2d |
tf.keras.layers.UpSampling3D View source on GitHub Upsampling layer for 3D inputs. Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.UpSampling3D
tf.keras.layers.UpSampling3D(
size=(2, 2, 2), data_format=None, **kwargs
... | tensorflow.keras.layers.upsampling3d |
tf.keras.layers.Wrapper View source on GitHub Abstract wrapper base class. Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.Wrapper
tf.keras.layers.Wrapper(
layer, **kwargs
)
Wrappers take another layer and augment it... | tensorflow.keras.layers.wrapper |
tf.keras.layers.ZeroPadding1D View source on GitHub Zero-padding layer for 1D input (e.g. temporal sequence). Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.ZeroPadding1D
tf.keras.layers.ZeroPadding1D(
padding=1, **k... | tensorflow.keras.layers.zeropadding1d |
tf.keras.layers.ZeroPadding2D View source on GitHub Zero-padding layer for 2D input (e.g. picture). Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.ZeroPadding2D
tf.keras.layers.ZeroPadding2D(
padding=(1, 1), data_for... | tensorflow.keras.layers.zeropadding2d |
tf.keras.layers.ZeroPadding3D View source on GitHub Zero-padding layer for 3D data (spatial or spatio-temporal). Inherits From: Layer, Module View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.layers.ZeroPadding3D
tf.keras.layers.ZeroPadding3D(
padding=(1,... | tensorflow.keras.layers.zeropadding3d |
Module: tf.keras.losses Built-in loss functions. View aliases Main aliases
tf.losses Classes class BinaryCrossentropy: Computes the cross-entropy loss between true labels and predicted labels. class CategoricalCrossentropy: Computes the crossentropy loss between the labels and predictions. class CategoricalHinge: C... | tensorflow.keras.losses |
tf.keras.losses.BinaryCrossentropy View source on GitHub Computes the cross-entropy loss between true labels and predicted labels. Inherits From: Loss View aliases Main aliases
tf.losses.BinaryCrossentropy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.BinaryCross... | tensorflow.keras.losses.binarycrossentropy |
tf.keras.losses.binary_crossentropy View source on GitHub Computes the binary crossentropy loss. View aliases Main aliases
tf.keras.metrics.binary_crossentropy, tf.losses.binary_crossentropy, tf.metrics.binary_crossentropy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.l... | tensorflow.keras.losses.binary_crossentropy |
tf.keras.losses.CategoricalCrossentropy View source on GitHub Computes the crossentropy loss between the labels and predictions. Inherits From: Loss View aliases Main aliases
tf.losses.CategoricalCrossentropy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.Categori... | tensorflow.keras.losses.categoricalcrossentropy |
tf.keras.losses.CategoricalHinge View source on GitHub Computes the categorical hinge loss between y_true and y_pred. Inherits From: Loss View aliases Main aliases
tf.losses.CategoricalHinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.CategoricalHinge
tf.kera... | tensorflow.keras.losses.categoricalhinge |
tf.keras.losses.categorical_crossentropy View source on GitHub Computes the categorical crossentropy loss. View aliases Main aliases
tf.keras.metrics.categorical_crossentropy, tf.losses.categorical_crossentropy, tf.metrics.categorical_crossentropy Compat aliases for migration See Migration guide for more deta... | tensorflow.keras.losses.categorical_crossentropy |
tf.keras.losses.categorical_hinge View source on GitHub Computes the categorical hinge loss between y_true and y_pred. View aliases Main aliases
tf.losses.categorical_hinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.categorical_hinge
tf.keras.losses.categori... | tensorflow.keras.losses.categorical_hinge |
tf.keras.losses.CosineSimilarity View source on GitHub Computes the cosine similarity between labels and predictions. Inherits From: Loss View aliases Main aliases
tf.losses.CosineSimilarity Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.CosineSimilarity
tf.kera... | tensorflow.keras.losses.cosinesimilarity |
tf.keras.losses.cosine_similarity Computes the cosine similarity between labels and predictions. View aliases Main aliases
tf.losses.cosine_similarity Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.cosine, tf.compat.v1.keras.losses.cosine_proximity, tf.compat.v1.keras.lo... | tensorflow.keras.losses.cosine_similarity |
tf.keras.losses.deserialize View source on GitHub Deserializes a serialized loss class/function instance. View aliases Main aliases
tf.losses.deserialize Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.deserialize
tf.keras.losses.deserialize(
name, custom_obj... | tensorflow.keras.losses.deserialize |
tf.keras.losses.get View source on GitHub Retrieves a Keras loss as a function/Loss class instance. View aliases Main aliases
tf.losses.get Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.get
tf.keras.losses.get(
identifier
)
The identifier may be the string... | tensorflow.keras.losses.get |
tf.keras.losses.Hinge View source on GitHub Computes the hinge loss between y_true and y_pred. Inherits From: Loss View aliases Main aliases
tf.losses.Hinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.Hinge
tf.keras.losses.Hinge(
reduction=losses_utils.Re... | tensorflow.keras.losses.hinge |
tf.keras.losses.Huber View source on GitHub Computes the Huber loss between y_true and y_pred. Inherits From: Loss View aliases Main aliases
tf.losses.Huber Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.Huber
tf.keras.losses.Huber(
delta=1.0, reduction=loss... | tensorflow.keras.losses.huber |
tf.keras.losses.KLD View source on GitHub Computes Kullback-Leibler divergence loss between y_true and y_pred. View aliases Main aliases
tf.keras.losses.kl_divergence, tf.keras.losses.kld, tf.keras.losses.kullback_leibler_divergence, tf.keras.metrics.KLD, tf.keras.metrics.kl_divergence, tf.keras.metrics.kld, ... | tensorflow.keras.losses.kld |
tf.keras.losses.KLDivergence View source on GitHub Computes Kullback-Leibler divergence loss between y_true and y_pred. Inherits From: Loss View aliases Main aliases
tf.losses.KLDivergence Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.KLDivergence
tf.keras.loss... | tensorflow.keras.losses.kldivergence |
tf.keras.losses.LogCosh View source on GitHub Computes the logarithm of the hyperbolic cosine of the prediction error. Inherits From: Loss View aliases Main aliases
tf.losses.LogCosh Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.LogCosh
tf.keras.losses.LogCosh(... | tensorflow.keras.losses.logcosh |
tf.keras.losses.log_cosh Logarithm of the hyperbolic cosine of the prediction error. View aliases Main aliases
tf.keras.losses.logcosh, tf.keras.metrics.log_cosh, tf.keras.metrics.logcosh, tf.losses.log_cosh, tf.losses.logcosh, tf.metrics.log_cosh, tf.metrics.logcosh Compat aliases for migration See Migration guide ... | tensorflow.keras.losses.log_cosh |
tf.keras.losses.Loss View source on GitHub Loss base class. View aliases Main aliases
tf.losses.Loss Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.Loss
tf.keras.losses.Loss(
reduction=losses_utils.ReductionV2.AUTO, name=None
)
To be implemented by subclass... | tensorflow.keras.losses.loss |
tf.keras.losses.MAE View source on GitHub Computes the mean absolute error between labels and predictions. View aliases Main aliases
tf.keras.losses.mae, tf.keras.losses.mean_absolute_error, tf.keras.metrics.MAE, tf.keras.metrics.mae, tf.keras.metrics.mean_absolute_error, tf.losses.MAE, tf.losses.mae, tf.loss... | tensorflow.keras.losses.mae |
tf.keras.losses.MAPE View source on GitHub Computes the mean absolute percentage error between y_true and y_pred. View aliases Main aliases
tf.keras.losses.mape, tf.keras.losses.mean_absolute_percentage_error, tf.keras.metrics.MAPE, tf.keras.metrics.mape, tf.keras.metrics.mean_absolute_percentage_error, tf.lo... | tensorflow.keras.losses.mape |
tf.keras.losses.MeanAbsoluteError View source on GitHub Computes the mean of absolute difference between labels and predictions. Inherits From: Loss View aliases Main aliases
tf.losses.MeanAbsoluteError Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.MeanAbsoluteEr... | tensorflow.keras.losses.meanabsoluteerror |
tf.keras.losses.MeanAbsolutePercentageError View source on GitHub Computes the mean absolute percentage error between y_true and y_pred. Inherits From: Loss View aliases Main aliases
tf.losses.MeanAbsolutePercentageError Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.los... | tensorflow.keras.losses.meanabsolutepercentageerror |
tf.keras.losses.MeanSquaredError View source on GitHub Computes the mean of squares of errors between labels and predictions. Inherits From: Loss View aliases Main aliases
tf.losses.MeanSquaredError Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.MeanSquaredError ... | tensorflow.keras.losses.meansquarederror |
tf.keras.losses.MeanSquaredLogarithmicError View source on GitHub Computes the mean squared logarithmic error between y_true and y_pred. Inherits From: Loss View aliases Main aliases
tf.losses.MeanSquaredLogarithmicError Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.los... | tensorflow.keras.losses.meansquaredlogarithmicerror |
tf.keras.losses.MSE View source on GitHub Computes the mean squared error between labels and predictions. View aliases Main aliases
tf.keras.losses.mean_squared_error, tf.keras.losses.mse, tf.keras.metrics.MSE, tf.keras.metrics.mean_squared_error, tf.keras.metrics.mse, tf.losses.MSE, tf.losses.mean_squared_er... | tensorflow.keras.losses.mse |
tf.keras.losses.MSLE View source on GitHub Computes the mean squared logarithmic error between y_true and y_pred. View aliases Main aliases
tf.keras.losses.mean_squared_logarithmic_error, tf.keras.losses.msle, tf.keras.metrics.MSLE, tf.keras.metrics.mean_squared_logarithmic_error, tf.keras.metrics.msle, tf.lo... | tensorflow.keras.losses.msle |
tf.keras.losses.Poisson View source on GitHub Computes the Poisson loss between y_true and y_pred. Inherits From: Loss View aliases Main aliases
tf.losses.Poisson Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.Poisson
tf.keras.losses.Poisson(
reduction=losse... | tensorflow.keras.losses.poisson |
tf.keras.losses.Reduction Types of loss reduction. View aliases Main aliases
tf.losses.Reduction Contains the following values:
AUTO: Indicates that the reduction option will be determined by the usage context. For almost all cases this defaults to SUM_OVER_BATCH_SIZE. When used with tf.distribute.Strategy, outsi... | tensorflow.keras.losses.reduction |
tf.keras.losses.serialize View source on GitHub Serializes loss function or Loss instance. View aliases Main aliases
tf.losses.serialize Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.serialize
tf.keras.losses.serialize(
loss
)
Arguments
loss A Ker... | tensorflow.keras.losses.serialize |
tf.keras.losses.SparseCategoricalCrossentropy View source on GitHub Computes the crossentropy loss between the labels and predictions. Inherits From: Loss View aliases Main aliases
tf.losses.SparseCategoricalCrossentropy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.los... | tensorflow.keras.losses.sparsecategoricalcrossentropy |
tf.keras.losses.sparse_categorical_crossentropy View source on GitHub Computes the sparse categorical crossentropy loss. View aliases Main aliases
tf.keras.metrics.sparse_categorical_crossentropy, tf.losses.sparse_categorical_crossentropy, tf.metrics.sparse_categorical_crossentropy Compat aliases for migratio... | tensorflow.keras.losses.sparse_categorical_crossentropy |
tf.keras.losses.SquaredHinge View source on GitHub Computes the squared hinge loss between y_true and y_pred. Inherits From: Loss View aliases Main aliases
tf.losses.SquaredHinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.SquaredHinge
tf.keras.losses.Squared... | tensorflow.keras.losses.squaredhinge |
tf.keras.losses.squared_hinge View source on GitHub Computes the squared hinge loss between y_true and y_pred. View aliases Main aliases
tf.keras.metrics.squared_hinge, tf.losses.squared_hinge, tf.metrics.squared_hinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losse... | tensorflow.keras.losses.squared_hinge |
Module: tf.keras.metrics Built-in metrics. View aliases Main aliases
tf.metrics Classes class AUC: Computes the approximate AUC (Area under the curve) via a Riemann sum. class Accuracy: Calculates how often predictions equal labels. class BinaryAccuracy: Calculates how often predictions match binary labels. class B... | tensorflow.keras.metrics |
tf.keras.metrics.Accuracy View source on GitHub Calculates how often predictions equal labels. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.Accuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.Accuracy
tf.keras.metrics.Accu... | tensorflow.keras.metrics.accuracy |
tf.keras.metrics.AUC View source on GitHub Computes the approximate AUC (Area under the curve) via a Riemann sum. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.AUC Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.AUC
tf.keras.metrics.A... | tensorflow.keras.metrics.auc |
tf.keras.metrics.BinaryAccuracy View source on GitHub Calculates how often predictions match binary labels. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.BinaryAccuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.BinaryAccurac... | tensorflow.keras.metrics.binaryaccuracy |
tf.keras.metrics.BinaryCrossentropy View source on GitHub Computes the crossentropy metric between the labels and predictions. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.BinaryCrossentropy Compat aliases for migration See Migration guide for more details. tf.compat.v1.kera... | tensorflow.keras.metrics.binarycrossentropy |
tf.keras.metrics.binary_accuracy View source on GitHub Calculates how often predictions matches binary labels. View aliases Main aliases
tf.metrics.binary_accuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.binary_accuracy
tf.keras.metrics.binary_accuracy(
... | tensorflow.keras.metrics.binary_accuracy |
tf.keras.metrics.CategoricalAccuracy View source on GitHub Calculates how often predictions matches one-hot labels. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.CategoricalAccuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.... | tensorflow.keras.metrics.categoricalaccuracy |
tf.keras.metrics.CategoricalCrossentropy View source on GitHub Computes the crossentropy metric between the labels and predictions. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.CategoricalCrossentropy Compat aliases for migration See Migration guide for more details. tf.comp... | tensorflow.keras.metrics.categoricalcrossentropy |
tf.keras.metrics.CategoricalHinge View source on GitHub Computes the categorical hinge metric between y_true and y_pred. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.CategoricalHinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metric... | tensorflow.keras.metrics.categoricalhinge |
tf.keras.metrics.categorical_accuracy View source on GitHub Calculates how often predictions matches one-hot labels. View aliases Main aliases
tf.metrics.categorical_accuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.categorical_accuracy
tf.keras.metrics.c... | tensorflow.keras.metrics.categorical_accuracy |
tf.keras.metrics.CosineSimilarity View source on GitHub Computes the cosine similarity between the labels and predictions. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.CosineSimilarity Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metr... | tensorflow.keras.metrics.cosinesimilarity |
tf.keras.metrics.deserialize View source on GitHub Deserializes a serialized metric class/function instance. View aliases Main aliases
tf.metrics.deserialize Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.deserialize
tf.keras.metrics.deserialize(
config, cu... | tensorflow.keras.metrics.deserialize |
tf.keras.metrics.FalseNegatives View source on GitHub Calculates the number of false negatives. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.FalseNegatives Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.FalseNegatives
tf.keras.metri... | tensorflow.keras.metrics.falsenegatives |
tf.keras.metrics.FalsePositives View source on GitHub Calculates the number of false positives. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.FalsePositives Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.FalsePositives
tf.keras.metri... | tensorflow.keras.metrics.falsepositives |
tf.keras.metrics.get View source on GitHub Retrieves a Keras metric as a function/Metric class instance. View aliases Main aliases
tf.metrics.get Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.get
tf.keras.metrics.get(
identifier
)
The identifier may be th... | tensorflow.keras.metrics.get |
tf.keras.metrics.Hinge View source on GitHub Computes the hinge metric between y_true and y_pred. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.Hinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.Hinge
tf.keras.metrics.Hinge(
... | tensorflow.keras.metrics.hinge |
tf.keras.metrics.KLDivergence View source on GitHub Computes Kullback-Leibler divergence metric between y_true and y_pred. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.KLDivergence Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.... | tensorflow.keras.metrics.kldivergence |
tf.keras.metrics.LogCoshError View source on GitHub Computes the logarithm of the hyperbolic cosine of the prediction error. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.LogCoshError Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metric... | tensorflow.keras.metrics.logcosherror |
tf.keras.metrics.Mean View source on GitHub Computes the (weighted) mean of the given values. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.Mean Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.Mean
tf.keras.metrics.Mean(
name='mea... | tensorflow.keras.metrics.mean |
tf.keras.metrics.MeanAbsoluteError View source on GitHub Computes the mean absolute error between the labels and predictions. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.MeanAbsoluteError Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.... | tensorflow.keras.metrics.meanabsoluteerror |
tf.keras.metrics.MeanAbsolutePercentageError View source on GitHub Computes the mean absolute percentage error between y_true and y_pred. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.MeanAbsolutePercentageError Compat aliases for migration See Migration guide for more detail... | tensorflow.keras.metrics.meanabsolutepercentageerror |
tf.keras.metrics.MeanIoU View source on GitHub Computes the mean Intersection-Over-Union metric. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.MeanIoU Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.MeanIoU
tf.keras.metrics.MeanIoU(
... | tensorflow.keras.metrics.meaniou |
tf.keras.metrics.MeanRelativeError View source on GitHub Computes the mean relative error by normalizing with the given values. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.MeanRelativeError Compat aliases for migration See Migration guide for more details. tf.compat.v1.kera... | tensorflow.keras.metrics.meanrelativeerror |
tf.keras.metrics.MeanSquaredError View source on GitHub Computes the mean squared error between y_true and y_pred. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.MeanSquaredError Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.Mean... | tensorflow.keras.metrics.meansquarederror |
tf.keras.metrics.MeanSquaredLogarithmicError View source on GitHub Computes the mean squared logarithmic error between y_true and y_pred. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.MeanSquaredLogarithmicError Compat aliases for migration See Migration guide for more detail... | tensorflow.keras.metrics.meansquaredlogarithmicerror |
tf.keras.metrics.MeanTensor View source on GitHub Computes the element-wise (weighted) mean of the given tensors. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.MeanTensor Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.MeanTensor
tf.k... | tensorflow.keras.metrics.meantensor |
tf.keras.metrics.Metric View source on GitHub Encapsulates metric logic and state. Inherits From: Layer, Module View aliases Main aliases
tf.metrics.Metric Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.Metric
tf.keras.metrics.Metric(
name=None, dtype=None,... | tensorflow.keras.metrics.metric |
tf.keras.metrics.Poisson View source on GitHub Computes the Poisson metric between y_true and y_pred. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.Poisson Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.Poisson
tf.keras.metrics... | tensorflow.keras.metrics.poisson |
tf.keras.metrics.Precision View source on GitHub Computes the precision of the predictions with respect to the labels. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.Precision Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.Precision
t... | tensorflow.keras.metrics.precision |
tf.keras.metrics.PrecisionAtRecall Computes best precision where recall is >= specified value. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.PrecisionAtRecall Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.PrecisionAtRecall
tf.keras.metrics... | tensorflow.keras.metrics.precisionatrecall |
tf.keras.metrics.Recall View source on GitHub Computes the recall of the predictions with respect to the labels. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.Recall Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.Recall
tf.keras.metr... | tensorflow.keras.metrics.recall |
tf.keras.metrics.RecallAtPrecision Computes best recall where precision is >= specified value. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.RecallAtPrecision Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.RecallAtPrecision
tf.keras.metrics... | tensorflow.keras.metrics.recallatprecision |
tf.keras.metrics.RootMeanSquaredError View source on GitHub Computes root mean squared error metric between y_true and y_pred. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.RootMeanSquaredError Compat aliases for migration See Migration guide for more details. tf.compat.v1.ke... | tensorflow.keras.metrics.rootmeansquarederror |
tf.keras.metrics.SensitivityAtSpecificity View source on GitHub Computes best sensitivity where specificity is >= specified value. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.SensitivityAtSpecificity Compat aliases for migration See Migration guide for more details. tf.compat.v1.... | tensorflow.keras.metrics.sensitivityatspecificity |
tf.keras.metrics.serialize View source on GitHub Serializes metric function or Metric instance. View aliases Main aliases
tf.metrics.serialize Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.serialize
tf.keras.metrics.serialize(
metric
)
Arguments
me... | tensorflow.keras.metrics.serialize |
tf.keras.metrics.SparseCategoricalAccuracy View source on GitHub Calculates how often predictions matches integer labels. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.SparseCategoricalAccuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.ke... | tensorflow.keras.metrics.sparsecategoricalaccuracy |
tf.keras.metrics.SparseCategoricalCrossentropy View source on GitHub Computes the crossentropy metric between the labels and predictions. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.SparseCategoricalCrossentropy Compat aliases for migration See Migration guide for more deta... | tensorflow.keras.metrics.sparsecategoricalcrossentropy |
tf.keras.metrics.SparseTopKCategoricalAccuracy View source on GitHub Computes how often integer targets are in the top K predictions. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.SparseTopKCategoricalAccuracy Compat aliases for migration See Migration guide for more details.... | tensorflow.keras.metrics.sparsetopkcategoricalaccuracy |
tf.keras.metrics.sparse_categorical_accuracy View source on GitHub Calculates how often predictions matches integer labels. View aliases Main aliases
tf.metrics.sparse_categorical_accuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.sparse_categorical_accuracy... | tensorflow.keras.metrics.sparse_categorical_accuracy |
tf.keras.metrics.sparse_top_k_categorical_accuracy View source on GitHub Computes how often integer targets are in the top K predictions. View aliases Main aliases
tf.metrics.sparse_top_k_categorical_accuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.sparse_... | tensorflow.keras.metrics.sparse_top_k_categorical_accuracy |
tf.keras.metrics.SpecificityAtSensitivity View source on GitHub Computes best specificity where sensitivity is >= specified value. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.SpecificityAtSensitivity Compat aliases for migration See Migration guide for more details. tf.compat.v1.... | tensorflow.keras.metrics.specificityatsensitivity |
tf.keras.metrics.SquaredHinge View source on GitHub Computes the squared hinge metric between y_true and y_pred. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.SquaredHinge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.SquaredHin... | tensorflow.keras.metrics.squaredhinge |
tf.keras.metrics.Sum View source on GitHub Computes the (weighted) sum of the given values. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.Sum Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.Sum
tf.keras.metrics.Sum(
name='sum', dt... | tensorflow.keras.metrics.sum |
tf.keras.metrics.TopKCategoricalAccuracy View source on GitHub Computes how often targets are in the top K predictions. Inherits From: Mean, Metric, Layer, Module View aliases Main aliases
tf.metrics.TopKCategoricalAccuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.... | tensorflow.keras.metrics.topkcategoricalaccuracy |
tf.keras.metrics.top_k_categorical_accuracy View source on GitHub Computes how often targets are in the top K predictions. View aliases Main aliases
tf.metrics.top_k_categorical_accuracy Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.top_k_categorical_accuracy
... | tensorflow.keras.metrics.top_k_categorical_accuracy |
tf.keras.metrics.TrueNegatives View source on GitHub Calculates the number of true negatives. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.TrueNegatives Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.TrueNegatives
tf.keras.metrics.T... | tensorflow.keras.metrics.truenegatives |
tf.keras.metrics.TruePositives View source on GitHub Calculates the number of true positives. Inherits From: Metric, Layer, Module View aliases Main aliases
tf.metrics.TruePositives Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.TruePositives
tf.keras.metrics.T... | tensorflow.keras.metrics.truepositives |
Module: tf.keras.mixed_precision 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... | tensorflow.keras.mixed_precision |
Module: tf.keras.mixed_precision.experimental Public API for tf.keras.mixed_precision.experimental namespace. Classes class LossScaleOptimizer: An deprecated optimizer that applies loss scaling. class Policy: A deprecated dtype policy for a Keras layer. Functions get_layer_policy(...): Returns the dtype policy of a lay... | tensorflow.keras.mixed_precision.experimental |
tf.keras.mixed_precision.experimental.get_layer_policy Returns the dtype policy of a layer.
tf.keras.mixed_precision.experimental.get_layer_policy(
layer
)
Warning: This function is deprecated. Use tf.keras.layers.Layer.dtype_policy instead.
Args
layer A tf.keras.layers.Layer.
Returns The tf.ke... | tensorflow.keras.mixed_precision.experimental.get_layer_policy |
tf.keras.mixed_precision.experimental.LossScaleOptimizer View source on GitHub An deprecated optimizer that applies loss scaling. Inherits From: LossScaleOptimizer, Optimizer View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.mixed_precision.experimental.LossSca... | tensorflow.keras.mixed_precision.experimental.lossscaleoptimizer |
tf.keras.mixed_precision.experimental.Policy View source on GitHub A deprecated dtype policy for a Keras layer. Inherits From: Policy
tf.keras.mixed_precision.experimental.Policy(
name, loss_scale='auto'
)
Warning: This class is now deprecated and will be removed soon. Please use the non-experimental class... | tensorflow.keras.mixed_precision.experimental.policy |
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