Index

A

all_patches() (in module bob.learn.tensorflow.dataset) append_image_augmentation() (in module bob.learn.tensorflow.dataset) apply_moving_averages (bob.learn.tensorflow.estimators.Logits attribute)

architecture (bob.learn.tensorflow.estimators.Logits attribute) architecture() (in module bob.learn.tensorflow.network.SimpleCNN) arrange_indexes_by_label() (in module bob.learn.tensorflow.dataset)

B

balanced_sigmoid_cross_entropy_loss_weights() (in module bob.learn.tensorflow.loss) balanced_softmax_cross_entropy_loss_weights() (in module bob.learn.tensorflow.loss) base_architecture() (in module bob.learn.tensorflow.network.SimpleCNN) batch_data_and_labels() (in module bob.learn.tensorflow.dataset.tfrecords) batch_data_and_labels_image_augmentation() (in module bob.learn.tensorflow.dataset.tfrecords) biofile_to_label (bob.learn.tensorflow.dataset.bio.BioGenerator attribute) biofiles (bob.learn.tensorflow.dataset.bio.BioGenerator attribute) BioGenerator (class in bob.learn.tensorflow.dataset.bio) blocks_tensorflow() (in module bob.learn.tensorflow.dataset) bob.learn.tensorflow (module) bob.learn.tensorflow.dataset (module) bob.learn.tensorflow.dataset.bio (module) bob.learn.tensorflow.dataset.generator (module)

bob.learn.tensorflow.dataset.image (module) bob.learn.tensorflow.dataset.siamese_image (module) bob.learn.tensorflow.dataset.tfrecords (module) bob.learn.tensorflow.dataset.triplet_image (module) bob.learn.tensorflow.estimators (module) bob.learn.tensorflow.loss (module) bob.learn.tensorflow.network (module) bob.learn.tensorflow.network.SimpleCNN (module) bob.learn.tensorflow.style_transfer (module) bob.learn.tensorflow.utils (module) bob.learn.tensorflow.utils.util (module) bytes2human() (in module bob.learn.tensorflow.utils.util) bytes_feature() (in module bob.learn.tensorflow.dataset.tfrecords)

C

check_features() (in module bob.learn.tensorflow.estimators) chopra() (in module bob.learn.tensorflow.network) compute_accuracy() (in module bob.learn.tensorflow.utils.util) compute_eer() (in module bob.learn.tensorflow.utils.util) compute_embedding_accuracy() (in module bob.learn.tensorflow.utils.util) compute_embedding_accuracy_tensors() (in module bob.learn.tensorflow.utils.util) compute_euclidean_distance() (in module bob.learn.tensorflow.utils.util) compute_features() (in module bob.learn.tensorflow.style_transfer) compute_gram() (in module bob.learn.tensorflow.style_transfer)

config (bob.learn.tensorflow.estimators.Logits attribute) content_loss() (in module bob.learn.tensorflow.loss) contrastive_loss() (in module bob.learn.tensorflow.loss) create_conv_layer() (in module bob.learn.tensorflow.network.SimpleCNN) create_dataset_from_path_augmentation() (in module bob.learn.tensorflow.dataset.image) (in module bob.learn.tensorflow.dataset.siamese_image) (in module bob.learn.tensorflow.dataset.triplet_image) create_dataset_from_records() (in module bob.learn.tensorflow.dataset.tfrecords) create_dataset_from_records_with_augmentation() (in module bob.learn.tensorflow.dataset.tfrecords) create_mnist_tfrecord() (in module bob.learn.tensorflow.utils.util)

D

database (bob.learn.tensorflow.dataset.bio.BioGenerator attribute) dataset_from_tfrecord() (in module bob.learn.tensorflow.dataset.tfrecords) dataset_to_tfrecord() (in module bob.learn.tensorflow.dataset.tfrecords) dataset_using_generator() (in module bob.learn.tensorflow.dataset.generator)

debug_embbeding() (in module bob.learn.tensorflow.utils.util) denoising_loss() (in module bob.learn.tensorflow.loss) describe_tf_record() (in module bob.learn.tensorflow.dataset.tfrecords) do_style_transfer() (in module bob.learn.tensorflow.style_transfer) dummy() (in module bob.learn.tensorflow.network)

E

embedding_validation (bob.learn.tensorflow.estimators.Logits attribute) epoch (bob.learn.tensorflow.dataset.bio.BioGenerator attribute) (bob.learn.tensorflow.dataset.generator.Generator attribute)

epsilon (bob.learn.tensorflow.loss.VATLoss attribute) example_parser() (in module bob.learn.tensorflow.dataset.tfrecords) extra_checkpoint (bob.learn.tensorflow.estimators.Logits attribute) (in module bob.learn.tensorflow.estimators)

F

from_filename_to_tensor() (in module bob.learn.tensorflow.dataset)

from_hdf5file_to_tensor() (in module bob.learn.tensorflow.dataset)

G

generate_virtual_adversarial_perturbation() (bob.learn.tensorflow.loss.VATLoss method) Generator (class in bob.learn.tensorflow.dataset.generator)

get_available_gpus() (in module bob.learn.tensorflow.utils.util) get_config() (in module bob.learn.tensorflow) get_trainable_variables() (in module bob.learn.tensorflow.estimators)

I

image_augmentation_parser() (in module bob.learn.tensorflow.dataset.image) (in module bob.learn.tensorflow.dataset.siamese_image) (in module bob.learn.tensorflow.dataset.tfrecords) (in module bob.learn.tensorflow.dataset.triplet_image)

inception_resnet_v1() (in module bob.learn.tensorflow.network) inception_resnet_v1_batch_norm() (in module bob.learn.tensorflow.network) inception_resnet_v2() (in module bob.learn.tensorflow.network) inception_resnet_v2_batch_norm() (in module bob.learn.tensorflow.network) int64_feature() (in module bob.learn.tensorflow.dataset.tfrecords)

K

keras_channels_index() (in module bob.learn.tensorflow.utils.util)

keys (bob.learn.tensorflow.dataset.bio.BioGenerator attribute), [1]

L

labels (bob.learn.tensorflow.dataset.bio.BioGenerator attribute), [1] learning_rate_decay_fn() (in module bob.learn.tensorflow.estimators) light_cnn9() (in module bob.learn.tensorflow.network) linear_gram_style_loss() (in module bob.learn.tensorflow.loss)

load_data (bob.learn.tensorflow.dataset.bio.BioGenerator attribute) load_mnist() (in module bob.learn.tensorflow.utils.util) Logits (class in bob.learn.tensorflow.estimators) LogitsCenterLoss (class in bob.learn.tensorflow.estimators) loss_op (bob.learn.tensorflow.estimators.Logits attribute)

M

mean_cross_entropy_center_loss() (in module bob.learn.tensorflow.loss) mean_cross_entropy_loss() (in module bob.learn.tensorflow.loss) method (bob.learn.tensorflow.loss.VATLoss attribute) mlp() (in module bob.learn.tensorflow.network) mlp_with_batchnorm_and_dropout() (in module bob.learn.tensorflow.network) mode (in module bob.learn.tensorflow.estimators)

model_dir (bob.learn.tensorflow.estimators.Logits attribute) model_fn() (in module bob.learn.tensorflow.network.SimpleCNN) MovingAverageOptimizer (class in bob.learn.tensorflow.estimators) multiple_samples (bob.learn.tensorflow.dataset.bio.BioGenerator attribute) (bob.learn.tensorflow.dataset.generator.Generator attribute) (in module bob.learn.tensorflow.dataset.generator)

N

n_classes (bob.learn.tensorflow.estimators.Logits attribute) new_architecture() (in module bob.learn.tensorflow.network.SimpleCNN)

normalize_tfrecords_path() (in module bob.learn.tensorflow.dataset.tfrecords) num_power_iterations (bob.learn.tensorflow.loss.VATLoss attribute)

O

optimizer (bob.learn.tensorflow.estimators.Logits attribute) (bob.learn.tensorflow.estimators.MovingAverageOptimizer attribute) output_shapes (bob.learn.tensorflow.dataset.bio.BioGenerator attribute), [1] (bob.learn.tensorflow.dataset.generator.Generator attribute), [1]

output_types (bob.learn.tensorflow.dataset.bio.BioGenerator attribute), [1] (bob.learn.tensorflow.dataset.generator.Generator attribute), [1]

P

params (bob.learn.tensorflow.estimators.Logits attribute)

pdist() (in module bob.learn.tensorflow.utils.util) predict_using_tensors() (in module bob.learn.tensorflow.utils.util)

R

read_and_decode() (in module bob.learn.tensorflow.dataset.tfrecords) reader (bob.learn.tensorflow.dataset.generator.Generator attribute) (in module bob.learn.tensorflow.dataset.generator)

Regressor (class in bob.learn.tensorflow.estimators)

S

samples (bob.learn.tensorflow.dataset.generator.Generator attribute) (in module bob.learn.tensorflow.dataset.generator) shuffle_data_and_labels() (in module bob.learn.tensorflow.dataset.tfrecords) shuffle_data_and_labels_image_augmentation() (in module bob.learn.tensorflow.dataset.image) (in module bob.learn.tensorflow.dataset.siamese_image) (in module bob.learn.tensorflow.dataset.tfrecords) (in module bob.learn.tensorflow.dataset.triplet_image)

siamease_pairs_generator() (in module bob.learn.tensorflow.dataset) Siamese (class in bob.learn.tensorflow.estimators) slim_architecture() (in module bob.learn.tensorflow.network.SimpleCNN)

T

tf_repeat() (in module bob.learn.tensorflow.dataset) tfrecord_name_and_json_name() (in module bob.learn.tensorflow.dataset.tfrecords) to_bob() (in module bob.learn.tensorflow.utils.util) to_channels_first() (in module bob.learn.tensorflow.utils.util) to_channels_last() (in module bob.learn.tensorflow.utils.util) to_matplotlib() (in module bob.learn.tensorflow.utils.util)

to_skimage() (in module bob.learn.tensorflow.utils.util) Triplet (class in bob.learn.tensorflow.estimators) triplet_average_loss() (in module bob.learn.tensorflow.loss) triplet_fisher_loss() (in module bob.learn.tensorflow.loss) triplet_loss() (in module bob.learn.tensorflow.loss) triplets_random_generator() (in module bob.learn.tensorflow.dataset)

V

validation_batch_size (bob.learn.tensorflow.estimators.Logits attribute) VATLoss (class in bob.learn.tensorflow.loss)

vgg_16() (in module bob.learn.tensorflow.network) vgg_19() (in module bob.learn.tensorflow.network) virtual_adversarial_loss() (bob.learn.tensorflow.loss.VATLoss method)

W

write_a_sample() (in module bob.learn.tensorflow.dataset.tfrecords)

X

xi (bob.learn.tensorflow.loss.VATLoss attribute)