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

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.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)

C

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

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

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)

K

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

L

labels (bob.learn.tensorflow.dataset.bio.BioGenerator attribute), [1] 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) mlp() (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) multiple_samples (bob.learn.tensorflow.dataset.bio.BioGenerator attribute)

N

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

new_architecture() (in module bob.learn.tensorflow.network.SimpleCNN)

O

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

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

P

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

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

R

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

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

S

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)

T

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

vgg_16() (in module bob.learn.tensorflow.network) vgg_19() (in module bob.learn.tensorflow.network)