Index

A

AdaDelta (class in pydnn.neuralnet) Adam (class in pydnn.neuralnet) add_batch_normalization() (pydnn.neuralnet.NN method) add_conv_pool() (pydnn.neuralnet.NN method) add_convolution() (pydnn.neuralnet.NN method) add_dropout() (pydnn.neuralnet.NN method) add_fully_connected() (pydnn.neuralnet.NN method)

add_hidden() (pydnn.neuralnet.NN method) add_logistic() (pydnn.neuralnet.NN method) add_mlp() (pydnn.neuralnet.NN method) add_nonlinearity() (pydnn.neuralnet.NN method) analyze_confusion_matrix() (in module examples.plankton.plankton) average_submissions() (in module examples.plankton.plankton)

B

build() (pydnn.data.DirectoryLabeledImageSet method) (pydnn.data.UnlabeledImageSet method)

C

Canonicalizer (class in pydnn.preprocess) ContiguousBoxPreserveAspectRatioResizer() (in module pydnn.preprocess)

ContiguousBoxStretchResizer() (in module pydnn.preprocess) create_security_group() (in module pydnn.aws_util)

D

default() (in module pydnn.tools) dimensions_to_fit_images() (in module pydnn.img_util) DirectoryLabeledImageSet (class in pydnn.data)

Dot (class in pydnn.tools) dot() (pydnn.tools.Dot method)

E

examples.plankton.plankton (module)

G

generate_submission_file() (in module examples.plankton.plankton) get_confusion_matrices() (pydnn.neuralnet.NN method) get_files() (in module pydnn.tools) (pydnn.data.DirectoryLabeledImageSet method) (pydnn.data.UnlabeledImageSet method) get_image_by_name() (in module pydnn.aws_util) get_image_id_by_name() (in module pydnn.aws_util) get_labels() (pydnn.data.DirectoryLabeledImageSet method) get_login_exec() (in module pydnn.aws_util)

get_random_file() (pydnn.data.DirectoryLabeledImageSet method) get_recent_gpu_price() (in module pydnn.aws_util) get_running_instances() (in module pydnn.aws_util) get_sftp_exec() (in module pydnn.aws_util) get_sub_dirs() (in module pydnn.tools) get_unique_instance() (in module pydnn.aws_util)

H

H() (in module pydnn.tools) h() (in module pydnn.tools) handle_command_line() (in module pydnn.aws_util)

hum() (in module pydnn.tools) human() (in module pydnn.tools)

I

image_tile() (in module pydnn.tools)

L

launch_instance() (in module pydnn.aws_util) LearningRateAdjuster (class in pydnn.neuralnet) LearningRateDecay (class in pydnn.neuralnet) LearningRateSchedule (class in pydnn.neuralnet) LearningRule (class in pydnn.neuralnet)

list_amis() (in module pydnn.aws_util) list_instances() (in module pydnn.aws_util) load() (in module pydnn.neuralnet) load_config() (in module pydnn.tools) load_net_and_generate_submission_file() (in module examples.plankton.plankton)

M

make_confusion_matrix() (pydnn.neuralnet.NN method) make_confusion_matrix_from_saved_network() (in module examples.plankton.plankton) merge_data_channel() (pydnn.neuralnet.NN method)

merge_pathways() (pydnn.neuralnet.NN method) Momentum (class in pydnn.neuralnet)

N

net_size() (in module pydnn.neuralnet) new_pathway() (pydnn.neuralnet.NN method) NN (class in pydnn.neuralnet)

now() (in module pydnn.tools) num_abbrev() (in module pydnn.tools)

P

predict() (pydnn.neuralnet.NN method) prelu() (in module pydnn.neuralnet) PreserveAspectRatioResizer() (in module pydnn.preprocess) print_instances() (in module pydnn.aws_util) pydnn.aws_util (module)

pydnn.data (module) pydnn.img_util (module) pydnn.neuralnet (module) pydnn.preprocess (module) pydnn.tools (module)

R

raise_exception() (in module pydnn.tools) relu() (in module pydnn.neuralnet) Resizer() (in module pydnn.preprocess)

Rotator360 (class in pydnn.preprocess) Rotator360PlusGeometry (class in pydnn.preprocess) run_experiment() (in module examples.plankton.plankton)

S

save() (in module pydnn.neuralnet) save_output() (in module pydnn.tools) save_spot_instance() (in module pydnn.aws_util) scale_to_unit_interval() (in module pydnn.tools) send_email() (in module pydnn.tools) sftp() (in module pydnn.aws_util) show_image_tiles() (in module pydnn.img_util) show_images() (in module pydnn.img_util) show_images_as_tiles() (in module pydnn.img_util) show_mistakes() (in module examples.plankton.plankton) sigmoid() (in module pydnn.neuralnet)

split_pathways() (pydnn.neuralnet.NN method) split_training_data() (in module pydnn.preprocess) ssh() (in module pydnn.aws_util) start_spot_instance() (in module pydnn.aws_util) StochasticGradientDescent (class in pydnn.neuralnet) StochasticStretchResizer() (in module pydnn.preprocess) stop() (pydnn.tools.Dot method) stop_all_spot_instances_without_saving() (in module pydnn.aws_util) stop_spot_instance_without_saving() (in module pydnn.aws_util) StretchResizer() (in module pydnn.preprocess)

T

tanh() (in module pydnn.neuralnet) test_show_images() (in module pydnn.img_util) ThresholdBoxPreserveAspectRatioResizer() (in module pydnn.preprocess) ThresholdBoxStretchResizer() (in module pydnn.preprocess)

tile_2d_images() (in module pydnn.tools) time_once() (in module pydnn.tools) train() (pydnn.neuralnet.NN method)

U

UnlabeledImageSet (class in pydnn.data)

W

WackyLearningRateAnnealer (class in pydnn.neuralnet) write_confusion_matrices_to_csv_files() (in module examples.plankton.plankton)

write_submission_csv_file() (in module examples.plankton.plankton)