GenerateModel Namespace Reference

Functions
def	normal (shape, name=None)

Variables
int	l2_val = 1e-5
	loss
	metrics
	model = Sequential()
int	nodes_hidden_layer = 64
int	num_hidden_layers = 1
int	num_input_nodes = 4
int	num_output_nodes = 2
	optimizer
	show_shapes
	to_file

Function Documentation

normal()

def GenerateModel.normal	(		shape,
			name = None
	)

Definition at line 19 of file GenerateModel.py.

Variable Documentation

l2_val

int GenerateModel.l2_val = 1e-5

Definition at line 14 of file GenerateModel.py.

loss

GenerateModel.loss

Definition at line 44 of file GenerateModel.py.

metrics

GenerateModel.metrics

Definition at line 44 of file GenerateModel.py.

model

GenerateModel.model = Sequential()

Definition at line 22 of file GenerateModel.py.

nodes_hidden_layer

int GenerateModel.nodes_hidden_layer = 64

Definition at line 13 of file GenerateModel.py.

num_hidden_layers

int GenerateModel.num_hidden_layers = 1

Definition at line 12 of file GenerateModel.py.

num_input_nodes

int GenerateModel.num_input_nodes = 4

Definition at line 10 of file GenerateModel.py.

num_output_nodes

int GenerateModel.num_output_nodes = 2

Definition at line 11 of file GenerateModel.py.

optimizer

GenerateModel.optimizer

Definition at line 44 of file GenerateModel.py.

show_shapes

GenerateModel.show_shapes

Definition at line 58 of file GenerateModel.py.

to_file

GenerateModel.to_file

Definition at line 58 of file GenerateModel.py.