Index

_

__init__() (neural_network.DataSplitter method) (neural_network.Network method) (neural_network.NormalDataGenerator method) (neural_network.Tester method) (neural_network.Trainer method) (neural_network.UniformDataGenerator method) (neural_network.Validator method)

_activate_output_layer() (neural_network.Network method) _calculate_pre_activated_value() (neural_network.Network method) _generate_data() (neural_network.NormalDataGenerator method) (neural_network.UniformDataGenerator method)

B

back_propagate_bias() (neural_network.Network method)

back_propagate_one_batch() (neural_network.Trainer method) back_propagate_weight() (neural_network.Network method)

C

comparison_scatter() (neural_network.Plotter static method) (neural_network.Tester method) (neural_network.Trainer method) (neural_network.Validator method)

D

datapoint_scatter() (neural_network.Plotter static method)

DataSplitter (class in neural_network)

F

forward_pass_one_datapoint() (neural_network.Network method)

G

generate_confusion() (neural_network.Tester method) generate_loss_plot() (neural_network.Trainer method) generate_scatter() (neural_network.Tester method) (neural_network.Trainer method) (neural_network.Validator method)

get_edges() (neural_network.Network method) get_layers() (neural_network.Network method) get_neuron_counts() (neural_network.Network method)

I

is_regressor() (neural_network.Network method)

M

module neural_network

N

Network (class in neural_network) neural_network module

NormalDataGenerator (class in neural_network)

P

plot_loss() (neural_network.Plotter static method)

Plotter (class in neural_network)

R

run() (neural_network.Tester method) (neural_network.Trainer method)

S

split() (neural_network.DataSplitter method)

store_gradient_of_loss() (neural_network.Network method) store_gradients() (neural_network.Trainer method)

T

Tester (class in neural_network)

Trainer (class in neural_network)

U

UniformDataGenerator (class in neural_network)

V

validate() (neural_network.Validator method)

Validator (class in neural_network) visualise_network() (neural_network.Network method)