Index

A

AdamAlgorithm (class in msdnet.train) add() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method) ArrayDataPoint (class in msdnet.data)

asdoublep() (in module msdnet.operations) asfloatp() (in module msdnet.operations) asintp() (in module msdnet.operations) augment_and_average_prediction() (in module msdnet.utils)

B

back_conv() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method)

backward() (msdnet.network.MSDNet method) (msdnet.network.Network method) BatchProvider (class in msdnet.data)

C

cdoublep (in module msdnet.operations) cfloatp (in module msdnet.operations) cintp (in module msdnet.operations) combine() (in module msdnet.operations) combine_all_all() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method)

ConsoleLogger (class in msdnet.loggers) conv2d() (in module msdnet.operations) convert_to_slabs() (in module msdnet.data) copy() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method)

D

DataPoint (class in msdnet.data)

Dilations (class in msdnet.dilations)

E

errorfunc() (msdnet.validate.MetricValidation method) (msdnet.validate.MSEValidation method)

errormsg (msdnet.data.OnlyAllDataPoint attribute)

F

fastmult_impl() (in module msdnet.gpuoperations) fastsumall_impl() (in module msdnet.gpuoperations) FileLogger (class in msdnet.loggers) fill() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method) filtergradient() (msdnet.network.MSDNet method) filtergradient2d() (in module msdnet.operations) filtergradientfull() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method) forw_conv() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method)

forward() (msdnet.network.MSDNet method) (msdnet.network.Network method) (msdnet.network.SegmentationMSDNet method) from_dict() (msdnet.network.MSDNet class method) (msdnet.network.Network class method) (msdnet.train.AdamAlgorithm class method) (msdnet.train.TrainAlgorithm class method) (msdnet.validate.MetricValidation class method) (msdnet.validate.Validation class method) from_file() (msdnet.network.Network class method) (msdnet.train.TrainAlgorithm class method) (msdnet.validate.Validation class method)

G

get() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method) get1dgridsize() (in module msdnet.gpuoperations) get2dgridsize() (in module msdnet.gpuoperations) get_dict() (in module msdnet.store) getall() (msdnet.data.DataPoint method) (msdnet.data.OnlyAllDataPoint method) (msdnet.data.RotateAndFlipDataPoint method) getbatch() (msdnet.data.BatchProvider method) getbest() (msdnet.validate.MetricValidation method) getgradients() (msdnet.network.MSDNet method) (msdnet.network.Network method) getheaderimage() (in module msdnet.loggers) getinputarray() (msdnet.data.ArrayDataPoint method) (msdnet.data.DataPoint method) (msdnet.data.ImageFileDataPoint method) (msdnet.data.OneHotDataPoint method) (msdnet.data.OnlyAllDataPoint method) (msdnet.data.SlabDataPoint method)

getmaskarray() (msdnet.data.ArrayDataPoint method) (msdnet.data.DataPoint method) (msdnet.data.ImageFileDataPoint method) (msdnet.data.OneHotDataPoint method) (msdnet.data.OnlyAllDataPoint method) (msdnet.data.SlabDataPoint method) getmedian() (msdnet.validate.MetricValidation method) gettargetarray() (msdnet.data.ArrayDataPoint method) (msdnet.data.DataPoint method) (msdnet.data.ImageFileDataPoint method) (msdnet.data.OneHotDataPoint method) (msdnet.data.OnlyAllDataPoint method) (msdnet.data.SlabDataPoint method) getworst() (msdnet.validate.MetricValidation method) GPUImageData (class in msdnet.gpuoperations) gradient() (msdnet.network.MSDNet method) (msdnet.network.Network method) gradient_zero() (msdnet.network.MSDNet method) (msdnet.network.Network method)

I

ImageData (class in msdnet.operations) ImageFileDataPoint (class in msdnet.data) ImageLabelLogger (class in msdnet.loggers) ImageLogger (class in msdnet.loggers) IncrementDilations (class in msdnet.dilations) indexlist() (in module msdnet.operations)

initialize() (msdnet.loggers.ConsoleLogger method) (msdnet.loggers.FileLogger method) (msdnet.loggers.ImageLabelLogger method) (msdnet.loggers.ImageLogger method) (msdnet.loggers.Logger method) (msdnet.network.MSDNet method) input() (msdnet.data.DataPoint property)

L

leakyrelu() (in module msdnet.operations) leakyrelu2() (in module msdnet.operations) load_dict() (msdnet.network.MSDNet method) (msdnet.network.Network method) (msdnet.train.AdamAlgorithm method) (msdnet.train.TrainAlgorithm method) (msdnet.validate.MetricValidation method) (msdnet.validate.Validation method)

load_simple_data() (in module msdnet.utils) log() (msdnet.loggers.Logger method) Logger (class in msdnet.loggers)

M

makelog() (msdnet.loggers.ConsoleLogger method) (msdnet.loggers.FileLogger method) (msdnet.loggers.ImageLabelLogger method) (msdnet.loggers.ImageLogger method) (msdnet.loggers.Logger method) mask() (msdnet.data.DataPoint property) MetricValidation (class in msdnet.validate) MSDNet (class in msdnet.network) msdnet (module) msdnet.data (module) msdnet.dilations (module)

msdnet.gpuoperations (module) msdnet.loggers (module) msdnet.network (module) msdnet.operations (module) msdnet.store (module) msdnet.train (module) msdnet.utils (module) msdnet.validate (module) MSEValidation (class in msdnet.validate) mult() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method) multsum() (in module msdnet.operations)

N

Network (class in msdnet.network) nextdil() (msdnet.dilations.Dilations method) (msdnet.dilations.IncrementDilations method)

normalizeinout() (msdnet.network.Network method) normalizeinput() (msdnet.network.MSDNet method) normalizeoutput() (msdnet.network.MSDNet method) (msdnet.network.SegmentationMSDNet method)

O

OneHotDataPoint (class in msdnet.data)

OnlyAllDataPoint (class in msdnet.data)

P

prepare_back_conv() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method) prepare_forw_conv() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method)

prepare_gradient() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method)

R

relu() (in module msdnet.operations) (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method) relu2() (in module msdnet.operations) (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method)

reset() (msdnet.dilations.Dilations method) (msdnet.dilations.IncrementDilations method) restore_training() (in module msdnet.train) RotateAndFlipDataPoint (class in msdnet.data)

S

scaleinput() (msdnet.network.MSDNet method) scaleoutput() (msdnet.network.MSDNet method) scaleoutputback() (msdnet.network.MSDNet method) SegmentationMSDNet (class in msdnet.network) set_block_size() (msdnet.gpuoperations.GPUImageData method) setimages() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method) setinputscale() (msdnet.network.MSDNet method) setoutputscale() (msdnet.network.MSDNet method) setscalars() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method) setthreads() (in module msdnet.operations) shape() (msdnet.operations.ImageData property)

SlabDataPoint (class in msdnet.data) softmax() (in module msdnet.operations) (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method) squaresum() (in module msdnet.operations) std() (in module msdnet.operations) step() (msdnet.train.AdamAlgorithm method) (msdnet.train.TrainAlgorithm method) stitchimages() (in module msdnet.loggers) store_dict() (in module msdnet.store) sum() (in module msdnet.operations) sumall() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method)

T

target() (msdnet.data.DataPoint property) to_dict() (msdnet.network.MSDNet method) (msdnet.network.Network method) (msdnet.train.AdamAlgorithm method) (msdnet.train.TrainAlgorithm method) (msdnet.validate.MetricValidation method) (msdnet.validate.Validation method)

to_file() (msdnet.network.Network method) (msdnet.train.TrainAlgorithm method) (msdnet.validate.Validation method) toimage() (msdnet.loggers.ImageLabelLogger method) (msdnet.loggers.ImageLogger method) train() (in module msdnet.train) TrainAlgorithm (class in msdnet.train)

U

updategradients() (msdnet.network.Network method)

updategradients_internal() (msdnet.network.MSDNet method) (msdnet.network.Network method)

V

validate() (msdnet.validate.MetricValidation method) (msdnet.validate.Validation method)

Validation (class in msdnet.validate)

W

weightgradientall() (msdnet.gpuoperations.GPUImageData method) (msdnet.operations.ImageData method)