Index

A

accuracy() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.NeuralNetwork method) (model.ptrbfnnc.PTRBFNN method), [1] (model.rp_nn.NeuralNetwork method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1] acos() (in module utils.act_func) AdaGrad (class in model.rp_optimizer), [1] Adam (class in model) (class in model.rp_optimizer), [1] Adamax (class in model.rp_optimizer), [1]

add_layer() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.NeuralNetwork method) (model.ptrbfnnc.PTRBFNN method), [1] (model.rp_nn.NeuralNetwork method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1] AMSGrad (class in model) (class in model.rp_optimizer), [1] asin() (in module utils.act_func) asinh() (in module utils.act_func) atan() (in module utils.act_func) atanh() (in module utils.act_func)

B

backprop() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.ptrbfnnc.PTRBFNN method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1]

batch_sequential() (in module utils.batch_gen_func) batch_shuffle() (in module utils.batch_gen_func)

C

classification_predictions() (in module utils.plot) convert_data() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.NeuralNetwork method) (model.ptrbfnnc.PTRBFNN method), [1] (model.rp_nn.NeuralNetwork method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1]

CVAdaGrad (class in model.rp_optimizer), [1] CVAdam (class in model) (class in model.rp_optimizer), [1] CVAdamax (class in model.rp_optimizer), [1] CVAMSGrad (class in model) (class in model.rp_optimizer), [1] CVFFNN (class in model) (class in model.cvffnn), [1] CVNadam (class in model) (class in model.rp_optimizer), [1] CVRBFNN (class in model) (class in model.cvrbfnn), [1] CVRMSprop (class in model.rp_optimizer), [1]

D

denormalize_outputs() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.NeuralNetwork method) (model.ptrbfnnc.PTRBFNN method), [1] (model.rp_nn.NeuralNetwork method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1]

dsa() (in module utils.plot)

E

example_cvffnn_1 module example_cvrbf_1 module example_fcrbf_1 module

example_ptrbf_1 module example_ptrbf_2 module example_scffnn_1 module exponential_decay() (in module utils.decay_func)

F

FCRBFNN (class in model) (class in model.fcrbfnn), [1] feedforward() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.ptrbfnnc.PTRBFNN method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1]

fit() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.NeuralNetwork method) (model.ptrbfnnc.PTRBFNN method), [1] (model.rp_nn.NeuralNetwork method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1]

G

get_history() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.NeuralNetwork method) (model.ptrbfnnc.PTRBFNN method), [1] (model.rp_nn.NeuralNetwork method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1]

glorot_normal() (in module utils.init_func) glorot_uniform() (in module utils.init_func) GradientDescent (class in model) (class in model.rp_optimizer), [1]

L

l2_regularization() (in module utils.reg_func) Layer (class in model) (class in model.rp_layer), [1]

linear() (in module utils.act_func)

M

make_spiral() (in module utils.plot) model module model.cvffnn module, [1] model.cvrbfnn module, [1] model.fcrbfnn module, [1] model.ptrbfnnc module, [1] model.rp_layer module, [1] model.rp_nn module, [1] model.rp_optimizer module, [1] model.scffnn module, [1] module example_cvffnn_1 example_cvrbf_1 example_fcrbf_1 example_ptrbf_1 example_ptrbf_2 example_scffnn_1 model model.cvffnn, [1] model.cvrbfnn, [1] model.fcrbfnn, [1] model.ptrbfnnc, [1] model.rp_layer, [1] model.rp_nn, [1] model.rp_optimizer, [1] model.scffnn, [1] utils utils.act_func utils.batch_gen_func utils.cost_func utils.decay_func utils.init_func utils.plot utils.reg_func utils.select_module utils.utils

mse() (in module utils.cost_func)

N

Nadam (class in model) (class in model.rp_optimizer), [1] NeuralNetwork (class in model) (class in model.rp_nn), [1] none_decay() (in module utils.decay_func) normalize_data() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.NeuralNetwork method) (model.ptrbfnnc.PTRBFNN method), [1] (model.rp_nn.NeuralNetwork method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1]

O

ones() (in module utils.init_func) ones_real() (in module utils.init_func) opt_conv_ptrbf_weights() (in module utils.init_func) opt_crbf_gamma() (in module utils.init_func)

opt_crbf_weights() (in module utils.init_func) opt_ptrbf_gamma() (in module utils.init_func) opt_ptrbf_weights() (in module utils.init_func) Optimizer (class in model) (class in model.rp_optimizer), [1]

P

predict() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.NeuralNetwork method) (model.ptrbfnnc.PTRBFNN method), [1] (model.rp_nn.NeuralNetwork method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1]

PTRBFNN (class in model.ptrbfnnc), [1]

R

random_normal() (in module utils.init_func) random_uniform() (in module utils.init_func) rbf_default() (in module utils.init_func)

RMSprop (class in model.rp_optimizer), [1] ru_gamma_ptrbf() (in module utils.init_func) ru_weights_ptrbf() (in module utils.init_func)

S

SAMSGrad (class in model.rp_optimizer), [1] SCFFNN (class in model) (class in model.scffnn), [1] sech() (in module utils.act_func) select_module() (in module utils.select_module) set_data() (in module example_cvffnn_1) (in module example_cvrbf_1) (in module example_fcrbf_1) (in module example_ptrbf_1) (in module example_ptrbf_2) (in module example_scffnn_1) set_module() (model.Adam method) (model.AMSGrad method) (model.CVAdam method) (model.CVAMSGrad method) (model.CVNadam method) (model.GradientDescent method) (model.Nadam method) (model.Optimizer method) (model.rp_optimizer.AdaGrad method), [1] (model.rp_optimizer.Adam method), [1] (model.rp_optimizer.Adamax method), [1] (model.rp_optimizer.AMSGrad method), [1] (model.rp_optimizer.CVAdaGrad method), [1] (model.rp_optimizer.CVAdam method), [1] (model.rp_optimizer.CVAdamax method), [1] (model.rp_optimizer.CVAMSGrad method), [1] (model.rp_optimizer.CVNadam method), [1] (model.rp_optimizer.CVRMSprop method), [1] (model.rp_optimizer.GradientDescent method), [1] (model.rp_optimizer.Nadam method), [1] (model.rp_optimizer.Optimizer method), [1] (model.rp_optimizer.RMSprop method), [1] (model.rp_optimizer.SAMSGrad method), [1]

sin() (in module utils.act_func) sinh() (in module utils.act_func) split_complex() (in module utils.act_func) split_set() (in module utils.utils) staircase() (in module utils.decay_func)

T

tan() (in module utils.act_func)

tanh() (in module utils.act_func) time_based_decay() (in module utils.decay_func)

U

update_learning_rate() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.NeuralNetwork method) (model.ptrbfnnc.PTRBFNN method), [1] (model.rp_nn.NeuralNetwork method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1] update_parameters() (model.Adam method) (model.AMSGrad method) (model.CVAdam method) (model.CVAMSGrad method) (model.CVNadam method) (model.GradientDescent method) (model.Nadam method) (model.Optimizer method) (model.rp_optimizer.AdaGrad method), [1] (model.rp_optimizer.Adam method), [1] (model.rp_optimizer.Adamax method), [1] (model.rp_optimizer.AMSGrad method), [1] (model.rp_optimizer.CVAdaGrad method), [1] (model.rp_optimizer.CVAdam method), [1] (model.rp_optimizer.CVAdamax method), [1] (model.rp_optimizer.CVAMSGrad method), [1] (model.rp_optimizer.CVNadam method), [1] (model.rp_optimizer.CVRMSprop method), [1] (model.rp_optimizer.GradientDescent method), [1] (model.rp_optimizer.Nadam method), [1] (model.rp_optimizer.Optimizer method), [1] (model.rp_optimizer.RMSprop method), [1] (model.rp_optimizer.SAMSGrad method), [1]

utils module utils.act_func module utils.batch_gen_func module utils.cost_func module utils.decay_func module utils.init_func module utils.plot module utils.reg_func module utils.select_module module utils.utils module

V

verify_input() (model.CVFFNN method) (model.cvffnn.CVFFNN method), [1] (model.CVRBFNN method) (model.cvrbfnn.CVRBFNN method), [1] (model.FCRBFNN method) (model.fcrbfnn.FCRBFNN method), [1] (model.NeuralNetwork method) (model.ptrbfnnc.PTRBFNN method), [1] (model.rp_nn.NeuralNetwork method), [1] (model.SCFFNN method) (model.scffnn.SCFFNN method), [1]

Z

zeros() (in module utils.init_func)

zeros_real() (in module utils.init_func)