doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
|---|---|
tf.io.gfile.rmtree View source on GitHub Deletes everything under path recursively. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.gfile.rmtree
tf.io.gfile.rmtree(
path
)
Args
path string, a path
Raises
errors.OpError If the operatio... | tensorflow.io.gfile.rmtree |
tf.io.gfile.stat View source on GitHub Returns file statistics for a given path. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.gfile.stat
tf.io.gfile.stat(
path
)
Args
path string, path to a file
Returns FileStatistics struct that con... | tensorflow.io.gfile.stat |
tf.io.gfile.walk View source on GitHub Recursive directory tree generator for directories. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.gfile.walk
tf.io.gfile.walk(
top, topdown=True, onerror=None
)
Args
top string, a Directory name
topdow... | tensorflow.io.gfile.walk |
tf.io.is_jpeg View source on GitHub Convenience function to check if the 'contents' encodes a JPEG image. View aliases Main aliases
tf.image.is_jpeg Compat aliases for migration See Migration guide for more details. tf.compat.v1.image.is_jpeg, tf.compat.v1.io.is_jpeg
tf.io.is_jpeg(
contents, name=None
)... | tensorflow.io.is_jpeg |
tf.io.matching_files Returns the set of files matching one or more glob patterns. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.matching_files, tf.compat.v1.matching_files
tf.io.matching_files(
pattern, name=None
)
Note that this routine only supports wildcard... | tensorflow.io.matching_files |
tf.io.match_filenames_once View source on GitHub Save the list of files matching pattern, so it is only computed once. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.match_filenames_once, tf.compat.v1.train.match_filenames_once
tf.io.match_filenames_once(
... | tensorflow.io.match_filenames_once |
tf.io.parse_example View source on GitHub Parses Example protos into a dict of tensors.
tf.io.parse_example(
serialized, features, example_names=None, name=None
)
Parses a number of serialized Example protos given in serialized. We refer to serialized as a batch with batch_size many entries of individual E... | tensorflow.io.parse_example |
tf.io.parse_sequence_example View source on GitHub Parses a batch of SequenceExample protos. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.parse_sequence_example
tf.io.parse_sequence_example(
serialized, context_features=None, sequence_features=None, exa... | tensorflow.io.parse_sequence_example |
tf.io.parse_single_example View source on GitHub Parses a single Example proto.
tf.io.parse_single_example(
serialized, features, example_names=None, name=None
)
Similar to parse_example, except: For dense tensors, the returned Tensor is identical to the output of parse_example, except there is no batch di... | tensorflow.io.parse_single_example |
tf.io.parse_single_sequence_example View source on GitHub Parses a single SequenceExample proto. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.parse_single_sequence_example, tf.compat.v1.parse_single_sequence_example
tf.io.parse_single_sequence_example(
... | tensorflow.io.parse_single_sequence_example |
tf.io.parse_tensor Transforms a serialized tensorflow.TensorProto proto into a Tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.parse_tensor, tf.compat.v1.parse_tensor
tf.io.parse_tensor(
serialized, out_type, name=None
)
Args
serialized A Tensor... | tensorflow.io.parse_tensor |
tf.io.RaggedFeature Configuration for passing a RaggedTensor input feature. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.RaggedFeature
tf.io.RaggedFeature(
dtype, value_key=None, partitions=(), row_splits_dtype=tf.dtypes.int32,
validate=False
)
value_key ... | tensorflow.io.raggedfeature |
tf.io.RaggedFeature.RowLengths RowLengths(key,) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.RaggedFeature.RowLengths
tf.io.RaggedFeature.RowLengths(
key
)
Attributes
key | tensorflow.io.raggedfeature.rowlengths |
tf.io.RaggedFeature.RowLimits RowLimits(key,) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.RaggedFeature.RowLimits
tf.io.RaggedFeature.RowLimits(
key
)
Attributes
key | tensorflow.io.raggedfeature.rowlimits |
tf.io.RaggedFeature.RowSplits RowSplits(key,) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.RaggedFeature.RowSplits
tf.io.RaggedFeature.RowSplits(
key
)
Attributes
key | tensorflow.io.raggedfeature.rowsplits |
tf.io.RaggedFeature.RowStarts RowStarts(key,) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.RaggedFeature.RowStarts
tf.io.RaggedFeature.RowStarts(
key
)
Attributes
key | tensorflow.io.raggedfeature.rowstarts |
tf.io.RaggedFeature.UniformRowLength UniformRowLength(length,) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.RaggedFeature.UniformRowLength
tf.io.RaggedFeature.UniformRowLength(
length
)
Attributes
length | tensorflow.io.raggedfeature.uniformrowlength |
tf.io.RaggedFeature.ValueRowIds ValueRowIds(key,) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.RaggedFeature.ValueRowIds
tf.io.RaggedFeature.ValueRowIds(
key
)
Attributes
key | tensorflow.io.raggedfeature.valuerowids |
tf.io.read_file Reads and outputs the entire contents of the input filename. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.read_file, tf.compat.v1.read_file
tf.io.read_file(
filename, name=None
)
Args
filename A Tensor of type string.
name A nam... | tensorflow.io.read_file |
tf.io.serialize_many_sparse View source on GitHub Serialize N-minibatch SparseTensor into an [N, 3] Tensor.
tf.io.serialize_many_sparse(
sp_input, out_type=tf.dtypes.string, name=None
)
The SparseTensor must have rank R greater than 1, and the first dimension is treated as the minibatch dimension. Elements... | tensorflow.io.serialize_many_sparse |
tf.io.serialize_sparse View source on GitHub Serialize a SparseTensor into a 3-vector (1-D Tensor) object.
tf.io.serialize_sparse(
sp_input, out_type=tf.dtypes.string, name=None
)
Args
sp_input The input SparseTensor.
out_type The dtype to use for serialization.
name A name prefix for ... | tensorflow.io.serialize_sparse |
tf.io.serialize_tensor Transforms a Tensor into a serialized TensorProto proto. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.serialize_tensor, tf.compat.v1.serialize_tensor
tf.io.serialize_tensor(
tensor, name=None
)
Args
tensor A Tensor. A Tensor of... | tensorflow.io.serialize_tensor |
tf.io.SparseFeature View source on GitHub Configuration for parsing a sparse input feature from an Example. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.SparseFeature, tf.compat.v1.io.SparseFeature
tf.io.SparseFeature(
index_key, value_key, dtype, size, al... | tensorflow.io.sparsefeature |
tf.io.TFRecordOptions View source on GitHub Options used for manipulating TFRecord files. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.TFRecordOptions, tf.compat.v1.python_io.TFRecordOptions
tf.io.TFRecordOptions(
compression_type=None, flush_mode=None,... | tensorflow.io.tfrecordoptions |
tf.io.TFRecordWriter View source on GitHub A class to write records to a TFRecords file. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.TFRecordWriter, tf.compat.v1.python_io.TFRecordWriter
tf.io.TFRecordWriter(
path, options=None
)
TFRecords tutorial TF... | tensorflow.io.tfrecordwriter |
tf.io.VarLenFeature View source on GitHub Configuration for parsing a variable-length input feature. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.VarLenFeature, tf.compat.v1.io.VarLenFeature
tf.io.VarLenFeature(
dtype
)
Fields:
dtype: Data type of input... | tensorflow.io.varlenfeature |
tf.io.write_file Writes contents to the file at input filename. Creates file and recursively View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.write_file, tf.compat.v1.write_file
tf.io.write_file(
filename, contents, name=None
)
creates directory if not existing.
... | tensorflow.io.write_file |
tf.io.write_graph View source on GitHub Writes a graph proto to a file. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.write_graph, tf.compat.v1.train.write_graph
tf.io.write_graph(
graph_or_graph_def, logdir, name, as_text=True
)
The graph is written as... | tensorflow.io.write_graph |
tf.is_tensor View source on GitHub Checks whether x is a TF-native type that can be passed to many TF ops. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.is_tensor
tf.is_tensor(
x
)
Use is_tensor to differentiate types that can ingested by TensorFlow ops wi... | tensorflow.is_tensor |
Module: tf.keras Implementation of the Keras API meant to be a high-level API for TensorFlow. Detailed documentation and user guides are available at tensorflow.org. Modules activations module: Built-in activation functions. applications module: Keras Applications are canned architectures with pre-trained weights. back... | tensorflow.keras |
Module: tf.keras.activations Built-in activation functions. Functions deserialize(...): Returns activation function given a string identifier. elu(...): Exponential Linear Unit. exponential(...): Exponential activation function. gelu(...): Applies the Gaussian error linear unit (GELU) activation function. get(...): Ret... | tensorflow.keras.activations |
tf.keras.activations.deserialize View source on GitHub Returns activation function given a string identifier. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.deserialize
tf.keras.activations.deserialize(
name, custom_objects=None
)
Arg... | tensorflow.keras.activations.deserialize |
tf.keras.activations.elu View source on GitHub Exponential Linear Unit. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.elu
tf.keras.activations.elu(
x, alpha=1.0
)
The exponential linear unit (ELU) with alpha > 0 is: x if x > 0 and alpha *... | tensorflow.keras.activations.elu |
tf.keras.activations.exponential View source on GitHub Exponential activation function. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.exponential
tf.keras.activations.exponential(
x
)
For example:
a = tf.constant([-3.0,-1.0, 0.0,1.0,3.0]... | tensorflow.keras.activations.exponential |
tf.keras.activations.gelu Applies the Gaussian error linear unit (GELU) activation function.
tf.keras.activations.gelu(
x, approximate=False
)
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 si... | tensorflow.keras.activations.gelu |
tf.keras.activations.get View source on GitHub Returns function. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.get
tf.keras.activations.get(
identifier
)
Arguments
identifier Function or string
Returns Function correspo... | tensorflow.keras.activations.get |
tf.keras.activations.hard_sigmoid View source on GitHub Hard sigmoid activation function. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.hard_sigmoid
tf.keras.activations.hard_sigmoid(
x
)
A faster approximation of the sigmoid activation. ... | tensorflow.keras.activations.hard_sigmoid |
tf.keras.activations.linear View source on GitHub Linear activation function (pass-through). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.linear
tf.keras.activations.linear(
x
)
For example:
a = tf.constant([-3.0,-1.0, 0.0,1.0,3.0], dty... | tensorflow.keras.activations.linear |
tf.keras.activations.relu View source on GitHub Applies the rectified linear unit activation function. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.relu
tf.keras.activations.relu(
x, alpha=0.0, max_value=None, threshold=0
)
With default ... | tensorflow.keras.activations.relu |
tf.keras.activations.selu View source on GitHub Scaled Exponential Linear Unit (SELU). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.selu
tf.keras.activations.selu(
x
)
The Scaled Exponential Linear Unit (SELU) activation function is defi... | tensorflow.keras.activations.selu |
tf.keras.activations.serialize View source on GitHub Returns the string identifier of an activation function. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.serialize
tf.keras.activations.serialize(
activation
)
Arguments
activation... | tensorflow.keras.activations.serialize |
tf.keras.activations.sigmoid View source on GitHub Sigmoid activation function, sigmoid(x) = 1 / (1 + exp(-x)). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.sigmoid
tf.keras.activations.sigmoid(
x
)
Applies the sigmoid activation functio... | tensorflow.keras.activations.sigmoid |
tf.keras.activations.softmax View source on GitHub Softmax converts a real vector to a vector of categorical probabilities. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.softmax
tf.keras.activations.softmax(
x, axis=-1
)
The elements of t... | tensorflow.keras.activations.softmax |
tf.keras.activations.softplus View source on GitHub Softplus activation function, softplus(x) = log(exp(x) + 1). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.softplus
tf.keras.activations.softplus(
x
)
Example Usage:
a = tf.constant([-2... | tensorflow.keras.activations.softplus |
tf.keras.activations.softsign View source on GitHub Softsign activation function, softsign(x) = x / (abs(x) + 1). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.softsign
tf.keras.activations.softsign(
x
)
Example Usage:
a = tf.constant([-... | tensorflow.keras.activations.softsign |
tf.keras.activations.swish Swish activation function, swish(x) = x * sigmoid(x). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.swish
tf.keras.activations.swish(
x
)
Swish activation function which returns x*sigmoid(x). It is a smooth, non-monoto... | tensorflow.keras.activations.swish |
tf.keras.activations.tanh View source on GitHub Hyperbolic tangent activation function. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.activations.tanh
tf.keras.activations.tanh(
x
)
For example:
a = tf.constant([-3.0,-1.0, 0.0,1.0,3.0], dtype = tf.f... | tensorflow.keras.activations.tanh |
Module: tf.keras.applications Keras Applications are canned architectures with pre-trained weights. Modules densenet module: DenseNet models for Keras. efficientnet module: EfficientNet models for Keras. imagenet_utils module: Utilities for ImageNet data preprocessing & prediction decoding. inception_resnet_v2 module: ... | tensorflow.keras.applications |
Module: tf.keras.applications.densenet DenseNet models for Keras. Reference:
Densely Connected Convolutional Networks (CVPR 2017) Functions DenseNet121(...): Instantiates the Densenet121 architecture. DenseNet169(...): Instantiates the Densenet169 architecture. DenseNet201(...): Instantiates the Densenet201 architec... | tensorflow.keras.applications.densenet |
tf.keras.applications.densenet.decode_predictions View source on GitHub Decodes the prediction of an ImageNet model. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.densenet.decode_predictions
tf.keras.applications.densenet.decode_predictions(
... | tensorflow.keras.applications.densenet.decode_predictions |
tf.keras.applications.densenet.preprocess_input View source on GitHub Preprocesses a tensor or Numpy array encoding a batch of images. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.densenet.preprocess_input
tf.keras.applications.densenet.prep... | tensorflow.keras.applications.densenet.preprocess_input |
tf.keras.applications.DenseNet121 View source on GitHub Instantiates the Densenet121 architecture. View aliases Main aliases
tf.keras.applications.densenet.DenseNet121 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.DenseNet121, tf.compat.v1.keras.application... | tensorflow.keras.applications.densenet121 |
tf.keras.applications.DenseNet169 View source on GitHub Instantiates the Densenet169 architecture. View aliases Main aliases
tf.keras.applications.densenet.DenseNet169 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.DenseNet169, tf.compat.v1.keras.application... | tensorflow.keras.applications.densenet169 |
tf.keras.applications.DenseNet201 View source on GitHub Instantiates the Densenet201 architecture. View aliases Main aliases
tf.keras.applications.densenet.DenseNet201 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.DenseNet201, tf.compat.v1.keras.application... | tensorflow.keras.applications.densenet201 |
Module: tf.keras.applications.efficientnet EfficientNet models for Keras. Reference:
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (ICML 2019) Functions EfficientNetB0(...): Instantiates the EfficientNetB0 architecture. EfficientNetB1(...): Instantiates the EfficientNetB1 architecture. Eff... | tensorflow.keras.applications.efficientnet |
tf.keras.applications.efficientnet.decode_predictions Decodes the prediction of an ImageNet model. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.efficientnet.decode_predictions
tf.keras.applications.efficientnet.decode_predictions(
preds, top=5
... | tensorflow.keras.applications.efficientnet.decode_predictions |
tf.keras.applications.efficientnet.preprocess_input View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.efficientnet.preprocess_input
tf.keras.applications.efficientnet.preprocess_input(
x, data_format=None
) | tensorflow.keras.applications.efficientnet.preprocess_input |
tf.keras.applications.EfficientNetB0 Instantiates the EfficientNetB0 architecture. View aliases Main aliases
tf.keras.applications.efficientnet.EfficientNetB0 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB0, tf.compat.v1.keras.applications.efficientne... | tensorflow.keras.applications.efficientnetb0 |
tf.keras.applications.EfficientNetB1 Instantiates the EfficientNetB1 architecture. View aliases Main aliases
tf.keras.applications.efficientnet.EfficientNetB1 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB1, tf.compat.v1.keras.applications.efficientne... | tensorflow.keras.applications.efficientnetb1 |
tf.keras.applications.EfficientNetB2 Instantiates the EfficientNetB2 architecture. View aliases Main aliases
tf.keras.applications.efficientnet.EfficientNetB2 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB2, tf.compat.v1.keras.applications.efficientne... | tensorflow.keras.applications.efficientnetb2 |
tf.keras.applications.EfficientNetB3 Instantiates the EfficientNetB3 architecture. View aliases Main aliases
tf.keras.applications.efficientnet.EfficientNetB3 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB3, tf.compat.v1.keras.applications.efficientne... | tensorflow.keras.applications.efficientnetb3 |
tf.keras.applications.EfficientNetB4 Instantiates the EfficientNetB4 architecture. View aliases Main aliases
tf.keras.applications.efficientnet.EfficientNetB4 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB4, tf.compat.v1.keras.applications.efficientne... | tensorflow.keras.applications.efficientnetb4 |
tf.keras.applications.EfficientNetB5 Instantiates the EfficientNetB5 architecture. View aliases Main aliases
tf.keras.applications.efficientnet.EfficientNetB5 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB5, tf.compat.v1.keras.applications.efficientne... | tensorflow.keras.applications.efficientnetb5 |
tf.keras.applications.EfficientNetB6 Instantiates the EfficientNetB6 architecture. View aliases Main aliases
tf.keras.applications.efficientnet.EfficientNetB6 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB6, tf.compat.v1.keras.applications.efficientne... | tensorflow.keras.applications.efficientnetb6 |
tf.keras.applications.EfficientNetB7 Instantiates the EfficientNetB7 architecture. View aliases Main aliases
tf.keras.applications.efficientnet.EfficientNetB7 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB7, tf.compat.v1.keras.applications.efficientne... | tensorflow.keras.applications.efficientnetb7 |
Module: tf.keras.applications.imagenet_utils Utilities for ImageNet data preprocessing & prediction decoding. Functions decode_predictions(...): Decodes the prediction of an ImageNet model. preprocess_input(...): Preprocesses a tensor or Numpy array encoding a batch of images. | tensorflow.keras.applications.imagenet_utils |
tf.keras.applications.imagenet_utils.decode_predictions View source on GitHub Decodes the prediction of an ImageNet model. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.imagenet_utils.decode_predictions
tf.keras.applications.imagenet_utils.de... | tensorflow.keras.applications.imagenet_utils.decode_predictions |
tf.keras.applications.imagenet_utils.preprocess_input View source on GitHub Preprocesses a tensor or Numpy array encoding a batch of images. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.imagenet_utils.preprocess_input
tf.keras.applications.i... | tensorflow.keras.applications.imagenet_utils.preprocess_input |
tf.keras.applications.InceptionResNetV2 View source on GitHub Instantiates the Inception-ResNet v2 architecture. View aliases Main aliases
tf.keras.applications.inception_resnet_v2.InceptionResNetV2 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.InceptionRes... | tensorflow.keras.applications.inceptionresnetv2 |
tf.keras.applications.InceptionV3 View source on GitHub Instantiates the Inception v3 architecture. View aliases Main aliases
tf.keras.applications.inception_v3.InceptionV3 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.InceptionV3, tf.compat.v1.keras.applic... | tensorflow.keras.applications.inceptionv3 |
Module: tf.keras.applications.inception_resnet_v2 Inception-ResNet V2 model for Keras. Reference:
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (AAAI 2017) Functions InceptionResNetV2(...): Instantiates the Inception-ResNet v2 architecture. decode_predictions(...): Decodes the pre... | tensorflow.keras.applications.inception_resnet_v2 |
tf.keras.applications.inception_resnet_v2.decode_predictions View source on GitHub Decodes the prediction of an ImageNet model. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.inception_resnet_v2.decode_predictions
tf.keras.applications.incepti... | tensorflow.keras.applications.inception_resnet_v2.decode_predictions |
tf.keras.applications.inception_resnet_v2.preprocess_input View source on GitHub Preprocesses a tensor or Numpy array encoding a batch of images. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.inception_resnet_v2.preprocess_input
tf.keras.appl... | tensorflow.keras.applications.inception_resnet_v2.preprocess_input |
Module: tf.keras.applications.inception_v3 Inception V3 model for Keras. Reference:
Rethinking the Inception Architecture for Computer Vision (CVPR 2016) Functions InceptionV3(...): Instantiates the Inception v3 architecture. decode_predictions(...): Decodes the prediction of an ImageNet model. preprocess_input(...)... | tensorflow.keras.applications.inception_v3 |
tf.keras.applications.inception_v3.decode_predictions View source on GitHub Decodes the prediction of an ImageNet model. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.inception_v3.decode_predictions
tf.keras.applications.inception_v3.decode_p... | tensorflow.keras.applications.inception_v3.decode_predictions |
tf.keras.applications.inception_v3.preprocess_input View source on GitHub Preprocesses a tensor or Numpy array encoding a batch of images. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.inception_v3.preprocess_input
tf.keras.applications.incep... | tensorflow.keras.applications.inception_v3.preprocess_input |
Module: tf.keras.applications.mobilenet MobileNet v1 models for Keras. MobileNet is a general architecture and can be used for multiple use cases. Depending on the use case, it can use different input layer size and different width factors. This allows different width models to reduce the number of multiply-adds and th... | tensorflow.keras.applications.mobilenet |
tf.keras.applications.mobilenet.decode_predictions View source on GitHub Decodes the prediction of an ImageNet model. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.mobilenet.decode_predictions
tf.keras.applications.mobilenet.decode_prediction... | tensorflow.keras.applications.mobilenet.decode_predictions |
tf.keras.applications.mobilenet.preprocess_input View source on GitHub Preprocesses a tensor or Numpy array encoding a batch of images. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.mobilenet.preprocess_input
tf.keras.applications.mobilenet.p... | tensorflow.keras.applications.mobilenet.preprocess_input |
tf.keras.applications.MobileNetV2 View source on GitHub Instantiates the MobileNetV2 architecture. View aliases Main aliases
tf.keras.applications.mobilenet_v2.MobileNetV2 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.MobileNetV2, tf.compat.v1.keras.applica... | tensorflow.keras.applications.mobilenetv2 |
tf.keras.applications.MobileNetV3Large Instantiates the MobileNetV3Large architecture. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.MobileNetV3Large
tf.keras.applications.MobileNetV3Large(
input_shape=None, alpha=1.0, minimalistic=False, includ... | tensorflow.keras.applications.mobilenetv3large |
tf.keras.applications.MobileNetV3Small Instantiates the MobileNetV3Small architecture. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.MobileNetV3Small
tf.keras.applications.MobileNetV3Small(
input_shape=None, alpha=1.0, minimalistic=False, includ... | tensorflow.keras.applications.mobilenetv3small |
Module: tf.keras.applications.mobilenet_v2 MobileNet v2 models for Keras. MobileNetV2 is a general architecture and can be used for multiple use cases. Depending on the use case, it can use different input layer size and different width factors. This allows different width models to reduce the number of multiply-adds a... | tensorflow.keras.applications.mobilenet_v2 |
tf.keras.applications.mobilenet_v2.decode_predictions View source on GitHub Decodes the prediction of an ImageNet model. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.mobilenet_v2.decode_predictions
tf.keras.applications.mobilenet_v2.decode_p... | tensorflow.keras.applications.mobilenet_v2.decode_predictions |
tf.keras.applications.mobilenet_v2.preprocess_input View source on GitHub Preprocesses a tensor or Numpy array encoding a batch of images. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.mobilenet_v2.preprocess_input
tf.keras.applications.mobil... | tensorflow.keras.applications.mobilenet_v2.preprocess_input |
Module: tf.keras.applications.mobilenet_v3 MobileNet v3 models for Keras. Functions decode_predictions(...): Decodes the prediction of an ImageNet model. preprocess_input(...): Preprocesses a tensor or Numpy array encoding a batch of images. | tensorflow.keras.applications.mobilenet_v3 |
tf.keras.applications.mobilenet_v3.decode_predictions Decodes the prediction of an ImageNet model. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.mobilenet_v3.decode_predictions
tf.keras.applications.mobilenet_v3.decode_predictions(
preds, top=5
... | tensorflow.keras.applications.mobilenet_v3.decode_predictions |
tf.keras.applications.mobilenet_v3.preprocess_input Preprocesses a tensor or Numpy array encoding a batch of images. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.mobilenet_v3.preprocess_input
tf.keras.applications.mobilenet_v3.preprocess_input(
... | tensorflow.keras.applications.mobilenet_v3.preprocess_input |
Module: tf.keras.applications.nasnet NASNet-A models for Keras. NASNet refers to Neural Architecture Search Network, a family of models that were designed automatically by learning the model architectures directly on the dataset of interest. Here we consider NASNet-A, the highest performance model that was found for th... | tensorflow.keras.applications.nasnet |
tf.keras.applications.nasnet.decode_predictions View source on GitHub Decodes the prediction of an ImageNet model. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.nasnet.decode_predictions
tf.keras.applications.nasnet.decode_predictions(
pr... | tensorflow.keras.applications.nasnet.decode_predictions |
tf.keras.applications.nasnet.preprocess_input View source on GitHub Preprocesses a tensor or Numpy array encoding a batch of images. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.keras.applications.nasnet.preprocess_input
tf.keras.applications.nasnet.preprocess... | tensorflow.keras.applications.nasnet.preprocess_input |
tf.keras.applications.NASNetLarge View source on GitHub Instantiates a NASNet model in ImageNet mode. View aliases Main aliases
tf.keras.applications.nasnet.NASNetLarge Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.NASNetLarge, tf.compat.v1.keras.applicatio... | tensorflow.keras.applications.nasnetlarge |
tf.keras.applications.NASNetMobile View source on GitHub Instantiates a Mobile NASNet model in ImageNet mode. View aliases Main aliases
tf.keras.applications.nasnet.NASNetMobile Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.NASNetMobile, tf.compat.v1.keras.... | tensorflow.keras.applications.nasnetmobile |
Module: tf.keras.applications.resnet ResNet models for Keras. Reference:
Deep Residual Learning for Image Recognition (CVPR 2015) Functions ResNet101(...): Instantiates the ResNet101 architecture. ResNet152(...): Instantiates the ResNet152 architecture. ResNet50(...): Instantiates the ResNet50 architecture. decode_p... | tensorflow.keras.applications.resnet |
tf.keras.applications.resnet.decode_predictions View source on GitHub Decodes the prediction of an ImageNet model. View aliases Main aliases
tf.keras.applications.resnet50.decode_predictions Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.resnet.decode_predic... | tensorflow.keras.applications.resnet.decode_predictions |
tf.keras.applications.resnet.preprocess_input View source on GitHub Preprocesses a tensor or Numpy array encoding a batch of images. View aliases Main aliases
tf.keras.applications.resnet50.preprocess_input Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.resn... | tensorflow.keras.applications.resnet.preprocess_input |
tf.keras.applications.ResNet101 View source on GitHub Instantiates the ResNet101 architecture. View aliases Main aliases
tf.keras.applications.resnet.ResNet101 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.ResNet101, tf.compat.v1.keras.applications.resnet.R... | tensorflow.keras.applications.resnet101 |
tf.keras.applications.ResNet101V2 View source on GitHub Instantiates the ResNet101V2 architecture. View aliases Main aliases
tf.keras.applications.resnet_v2.ResNet101V2 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.ResNet101V2, tf.compat.v1.keras.applicatio... | tensorflow.keras.applications.resnet101v2 |
tf.keras.applications.ResNet152 View source on GitHub Instantiates the ResNet152 architecture. View aliases Main aliases
tf.keras.applications.resnet.ResNet152 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.ResNet152, tf.compat.v1.keras.applications.resnet.R... | tensorflow.keras.applications.resnet152 |
tf.keras.applications.ResNet152V2 View source on GitHub Instantiates the ResNet152V2 architecture. View aliases Main aliases
tf.keras.applications.resnet_v2.ResNet152V2 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.ResNet152V2, tf.compat.v1.keras.applicatio... | tensorflow.keras.applications.resnet152v2 |
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