deepy.layers.Maxout.__init__() - Code Metrics - Inspection of "big refactoring for building abitrary computation..." - uaca/deepy - Measure and Improve Code Quality continuously with Scrutinizer

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by Raphael

created 2015-12-14 06:17 UTC

deepy.layers.Maxout.init() A

↳ Parent: deepy.layers.Maxout

Complexity

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Lines	0
Ratio	0 %

Metric	Value
cc	1
dl	0
loc	8
rs	9.4286

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import theano.tensor as T
from . import NeuralLayer

class Maxout(NeuralLayer):
    """
    Maxout activation unit.
     - http://arxiv.org/pdf/1302.4389.pdf
    """
    def __init__(self, output_dim, num_pieces=4, init=None):
        """
        :param num_pieces: pieces of sub maps
        """
        super(Maxout, self).__init__("maxout")
        self.num_pieces = num_pieces
        self.output_dim = output_dim
        self.init = init


    def prepare(self):
        self.W = self.create_weight(shape=(self.num_pieces, self.input_dim, self.output_dim),
                                    initializer=self.init, suffix="maxout")
        self.B = self.create_bias(shape=(self.num_pieces, self.output_dim), suffix="maxout")
        self.register_parameters(self.W, self.B)


    def output(self, x):
        return T.max(T.dot(x, self.W) + self.B, axis=1)

1			#!/usr/bin/env python
2			# -- coding: utf-8 --
3
4			import theano.tensor as T
5			from . import NeuralLayer
6
7			class Maxout(NeuralLayer):
8			"""
9			Maxout activation unit.
10			- http://arxiv.org/pdf/1302.4389.pdf
11			"""
12			def __init__(self, output_dim, num_pieces=4, init=None):
13			"""
14			:param num_pieces: pieces of sub maps
15			"""
16			super(Maxout, self).__init__("maxout")
17			self.num_pieces = num_pieces
18			self.output_dim = output_dim
19			self.init = init
20
21
22			def prepare(self):
23			self.W = self.create_weight(shape=(self.num_pieces, self.input_dim, self.output_dim),
24			initializer=self.init, suffix="maxout")
25			self.B = self.create_bias(shape=(self.num_pieces, self.output_dim), suffix="maxout")
26			self.register_parameters(self.W, self.B)
27
28
29			def output(self, x):
30			return T.max(T.dot(x, self.W) + self.B, axis=1)

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