MultilayerPerceptron Class Reference

Inheritance diagram for MultilayerPerceptron:

Collaboration diagram for MultilayerPerceptron:

Public Member Functions
def	__init__ (self, layers, name='mlp')
def	from_list (cls, layers)
def	initialize (self)
def	__call__ (self, x)
def	variables_to_writer (self, step, writer)

Public Attributes
	layers
	layer objs
	w
	weights
	b
	biases
	is_initialized
	collect all mlp parameters

Private Member Functions
def	_collect_weights_and_biases (self)

Detailed Description

multilayer perceptron class.

Definition at line 118 of file tensorflow_dnn_model.py.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			layers,
			name = 'mlp'
	)

initialization

Definition at line 123 of file tensorflow_dnn_model.py.

Member Function Documentation

__call__()

def __call__	(		self,
			x
	)

Run the events through all the layers

Definition at line 181 of file tensorflow_dnn_model.py.

_collect_weights_and_biases()

def _collect_weights_and_biases (   self )

private

collect tunable parameters

Definition at line 154 of file tensorflow_dnn_model.py.

from_list()

def from_list	(		cls,
			layers
	)

define layers from list

Definition at line 143 of file tensorflow_dnn_model.py.

initialize()

def initialize

(

self

)

initialize. Checks that the layer dimensions align.

Definition at line 164 of file tensorflow_dnn_model.py.

variables_to_writer()

def variables_to_writer	(		self,
			step,
			writer
	)

passes all the MLP variables to the tf.summary writer

Definition at line 189 of file tensorflow_dnn_model.py.

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The documentation for this class was generated from the following file:

• analysis/scripts/dft/tensorflow_dnn_model.py