Index

A

activation() (theta.activations.linear static method) (theta.activations.sigmoid static method) (theta.activations.tanh static method)

adadelta (class in theta.gradientschemes) adagrad (class in theta.gradientschemes) adam (class in theta.gradientschemes) add() (theta.model.Model method)

B

BFGS (class in theta.minimizer)

C

CMA (class in theta.minimizer)

D

DiagExpectationUnitLayer (class in theta.layers)

do_stop() (theta.stopping.earlystop method)

E

earlystop (class in theta.stopping)

G

get_bounds() (theta.layers.DiagExpectationUnitLayer method) (theta.layers.Linear method) (theta.layers.NonLinear method) (theta.layers.NormAddLayer method) (theta.layers.ThetaUnitLayer method) (theta.model.Model method) (theta.rtbm.RTBM method) get_gradients() (theta.layers.DiagExpectationUnitLayer method) (theta.layers.Linear method) (theta.layers.NonLinear method) (theta.layers.NormAddLayer method) (theta.layers.ThetaUnitLayer method) (theta.model.Model method) (theta.rtbm.RTBM method) get_layer() (theta.model.Model method) get_parameters() (theta.layers.DiagExpectationUnitLayer method) (theta.layers.Linear method) (theta.layers.NonLinear method) (theta.layers.NormAddLayer method) (theta.layers.ThetaUnitLayer method) (theta.model.Model method) (theta.rtbm.RTBM method)

get_unit() (theta.layers.ThetaUnitLayer method) getupdate() (theta.gradientschemes.adadelta method) (theta.gradientschemes.RMSprop method) (theta.gradientschemes.adagrad method) (theta.gradientschemes.adam method) glorot_normal (class in theta.initializers) glorot_uniform (class in theta.initializers) gradient() (theta.activations.linear static method) (theta.activations.sigmoid static method) (theta.activations.tanh static method) gradient_check() (theta.model.Model method)

L

linear (class in theta.activations)

Linear (class in theta.layers) logarithmic (class in theta.costfunctions)

M

mean() (theta.rtbm.RTBM method)

Model (class in theta.model) mse (class in theta.costfunctions)

N

NonLinear (class in theta.layers) NormAddLayer (class in theta.layers)

normal (class in theta.initializers) null (class in theta.initializers)

P

predict() (theta.model.Model method) (theta.rtbm.RTBM method)

R

random_init() (theta.rtbm.RTBM method) rmse (class in theta.costfunctions)

RMSprop (class in theta.gradientschemes) RTBM (class in theta.rtbm)

S

set_bounds() (theta.rtbm.RTBM method) SGD (class in theta.minimizer) show_activation() (theta.layers.DiagExpectationUnitLayer method) sigmoid (class in theta.activations) size() (theta.layers.DiagExpectationUnitLayer method) (theta.layers.Linear method) (theta.layers.NonLinear method) (theta.layers.NormAddLayer method) (theta.layers.ThetaUnitLayer method) (theta.model.Model method) (theta.rtbm.RTBM method)

sum (class in theta.costfunctions)

T

tanh (class in theta.activations) ThetaUnitLayer (class in theta.layers)

train() (theta.minimizer.BFGS method) (theta.minimizer.CMA method) (theta.minimizer.SGD method)

U

uniform (class in theta.initializers)