Index

_

__init__() (nillanet.initializer.Initializer method) (nillanet.scheduler.Scheduler method)

A

Activations (class in nillanet.activations)

arithmetic_distribution() (nillanet.distributions.Distributions method)

B

batch() (nillanet.model.NN method)

binary_crossentropy() (nillanet.loss.Loss method) binary_crossentropy_derivative() (nillanet.loss.Loss method)

C

constant() (nillanet.scheduler.Scheduler method)

cosine() (nillanet.scheduler.Scheduler method)

D

Distributions (class in nillanet.distributions)

H

he() (nillanet.initializer.Initializer method)

I

Initializer (class in nillanet.initializer)

inverse() (nillanet.scheduler.Scheduler method) IO (class in nillanet.io)

L

linear() (nillanet.activations.Activations method) (nillanet.scheduler.Scheduler method) linear_derivative() (nillanet.activations.Activations method)

linear_distribution() (nillanet.distributions.Distributions method) load() (nillanet.io.IO method) logical_distribution() (nillanet.distributions.Distributions method) Loss (class in nillanet.loss)

M

mae() (nillanet.loss.Loss method) mae_derivative() (nillanet.loss.Loss method) module nillanet.activations nillanet.distributions nillanet.initializer nillanet.io nillanet.loss nillanet.model nillanet.scheduler

mse() (nillanet.loss.Loss method) mse_derivative() (nillanet.loss.Loss method)

N

nillanet.activations module nillanet.distributions module nillanet.initializer module nillanet.io module

nillanet.loss module nillanet.model module nillanet.scheduler module NN (class in nillanet.model) normal() (nillanet.initializer.Initializer method)

P

predict() (nillanet.model.NN method)

R

relu() (nillanet.activations.Activations method)

relu_derivative() (nillanet.activations.Activations method)

S

save() (nillanet.io.IO method) Scheduler (class in nillanet.scheduler) sigma (nillanet.scheduler.Scheduler attribute) sigmoid() (nillanet.activations.Activations method) sigmoid_derivative() (nillanet.activations.Activations method) softmax() (nillanet.activations.Activations method)

softmax_derivative() (nillanet.activations.Activations method) sort() (nillanet.distributions.Distributions method) step() (nillanet.scheduler.Scheduler method) steps (nillanet.scheduler.Scheduler attribute) summary() (nillanet.model.NN method) summation() (nillanet.distributions.Distributions method)

T

tanh() (nillanet.activations.Activations method)

tanh_derivative() (nillanet.activations.Activations method) train() (nillanet.model.NN method)

U

uniform() (nillanet.initializer.Initializer method)

W

W (nillanet.model.NN attribute)

X

xavier() (nillanet.initializer.Initializer method)