repository

Index

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__version__ (in module bcn)

A

accuracies (bcn.Results attribute)

activation (bcn.BCN attribute) (bcn.BCNLayer attribute)

B

batch_size (bcn.TrainingScheme attribute) BCN (class in bcn) BCNLayer (class in bcn)

best (bcn.Results attribute) branches (bcn.BCN attribute) (bcn.BCNLayer attribute) Branches (class in bcn.branches)

C

center (bcn.branches.Branches attribute) clone() (bcn.BCN method) COCKTAIL (bcn.WPApproach attribute) confusion() (bcn.BCN method)

connections (bcn.BCN attribute) (bcn.BCNLayer attribute) (bcn.branches.Branches attribute) Connections (class in bcn) construct_network() (bcn.BCN static method)

D

dataset (bcn.TrainingScheme attribute) Dataset (class in bcn) dataset_path (bcn.TrainingScheme attribute) default (bcn.branches.Branches attribute) default_network_filename() (bcn.BCNLayer property) default_results_filename() (bcn.BCN property) default_weights_filename() (bcn.BCN property)

depth (bcn.BCN attribute) device (bcn.BCN attribute) (bcn.BCNLayer attribute) devices (bcn.Results attribute) DirectOnly (class in bcn.branches) dropout (bcn.BCN attribute) (bcn.BCNLayer attribute)

E

ells (bcn.BCNLayer attribute)

epoch (bcn.Results attribute) evaluate() (bcn.BCN method)

F

f1_scores (bcn.Results attribute) FASHION (bcn.Dataset attribute) Fault (class in bcn)

fill (bcn.TrainingScheme attribute) forward() (bcn.BCN method) (bcn.BCNLayer method) FULLY_CONNECTED (bcn.Connections attribute)

H

hw (bcn.BCN attribute) (bcn.BCNLayer attribute)

I

IndirectOnly (class in bcn.branches.informed) (class in bcn.branches.simple) (class in bcn.branches.uniform)

K

Kappa (class in bcn.branches.informed)

L

last (bcn.BCNLayer attribute) latex (bcn.branches.Branches attribute)

layers (bcn.BCN attribute) load() (bcn.Results method)

M

mask (bcn.BCNLayer attribute) mean (bcn.BCN attribute) (bcn.BCNLayer attribute)

migrate_results() (in module bcn.v0) migrate_weights() (in module bcn.v0) MNIST (bcn.Dataset attribute)

N

name (bcn.branches.Branches attribute) NearestNeighbor (class in bcn.branches.simple) (class in bcn.branches.uniform) NearestNeighborOnly (class in bcn.branches.simple) (class in bcn.branches.uniform)

network (bcn.BCNLayer attribute) NextToNN (class in bcn.branches.simple) (class in bcn.branches.uniform) NextToNNOnly (class in bcn.branches.simple) (class in bcn.branches.uniform) normalize() (bcn.branches.Branches method)

O

ONE_TO_1 (bcn.Connections attribute) ONE_TO_25 (bcn.Connections attribute) ONE_TO_49 (bcn.Connections attribute)

ONE_TO_81 (bcn.Connections attribute) ONE_TO_9 (bcn.Connections attribute) optim (bcn.TrainingScheme attribute) optim_params (bcn.TrainingScheme attribute)

P

padding (bcn.TrainingScheme attribute) pan() (bcn.branches.Branches static method)

precisions (bcn.Results attribute) prepare_dataset() (bcn.TrainingScheme method)

R

RANDOM (bcn.WPApproach attribute) RASTER (bcn.WPApproach attribute) recalls (bcn.Results attribute) results (bcn.BCN attribute)

Results (bcn.bcn.v0 attribute) (class in bcn) run_epoch() (bcn.BCN method) run_epochs() (bcn.BCN method) run_wp() (bcn.BCN method)

S

save() (bcn.Results method) save_path (bcn.BCN attribute) scheme (bcn.BCN attribute)

std (bcn.BCN attribute) (bcn.BCNLayer attribute) step (bcn.Results attribute)

T

tag (bcn.Results attribute) train (bcn.TrainingScheme attribute) train() (bcn.BCN method)

train_losses (bcn.Results attribute) train_times (bcn.Results attribute) TrainingScheme (class in bcn) trial (bcn.BCN attribute)

V

valid (bcn.TrainingScheme attribute) valid_losses (bcn.Results attribute) valid_times (bcn.Results attribute)

verbose (bcn.BCN attribute) version_info (in module bcn) versions (bcn.Results attribute) Vital (class in bcn.branches)

W

weights (bcn.BCNLayer attribute) width (bcn.BCN attribute) (bcn.BCNLayer attribute) (bcn.branches.Branches attribute) (bcn.TrainingScheme attribute)

wp_layers (bcn.Results attribute) WPApproach (class in bcn)