pylearn: algorithms/daa.py annotate

annotate algorithms/daa.py @ 672:27b1344a57b1

Added preprocessing back in

author	Joseph Turian <turian@gmail.com>
date	Thu, 20 Nov 2008 06:38:06 -0500
parents	dc2d93590da0
children

rev	line source
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	1
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	2 import theano
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	3 from theano import tensor as T
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	4 from theano.tensor import nnet as NN
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	5 import numpy as N
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	6
487 94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	7 from pylearn import cost as cost
94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	8
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	9 class DenoisingAA(T.RModule):
512 da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	10 """De-noising Auto-encoder
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	11
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	12 WRITEME
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	13
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	14 Abstract base class. Requires subclass with functions:
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	15
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	16 - build_corrupted_input()
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	17
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	18 Introductory article about this model WRITEME.
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	19
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	20
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	21 """
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	22
487 94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	23 def __init__(self, input = None, regularize = True, tie_weights = True,
94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	24 activation_function=NN.sigmoid, reconstruction_cost_function=cost.cross_entropy):
94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	25 """
512 da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	26 :param input: WRITEME
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	27
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	28 :param regularize: WRITEME
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	29
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	30 :param tie_weights: WRITEME
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	31
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	32 :param activation_function: WRITEME
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	33
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	34 :param reconstruction_cost: Should return one cost per example (row)
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	35
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	36 :todo: Default noise level for all daa levels
da916044454c added useless comments James Bergstra <bergstrj@iro.umontreal.ca> parents: 503 diff changeset	37
487 94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	38 """
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	39 super(DenoisingAA, self).__init__()
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	40
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	41 # MODEL CONFIGURATION
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	42 self.regularize = regularize
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	43 self.tie_weights = tie_weights
487 94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	44 self.activation_function = activation_function
94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	45 self.reconstruction_cost_function = reconstruction_cost_function
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	46
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	47 # ACQUIRE/MAKE INPUT
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	48 if not input:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	49 input = T.matrix('input')
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	50 self.input = theano.External(input)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	51
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	52 # HYPER-PARAMETERS
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	53 self.lr = theano.Member(T.scalar())
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	54
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	55 # PARAMETERS
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	56 self.w1 = theano.Member(T.matrix())
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	57 if not tie_weights:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	58 self.w2 = theano.Member(T.matrix())
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	59 else:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	60 self.w2 = self.w1.T
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	61 self.b1 = theano.Member(T.vector())
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	62 self.b2 = theano.Member(T.vector())
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	63
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	64
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	65 # REGULARIZATION COST
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	66 self.regularization = self.build_regularization()
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	67
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	68
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	69 ### NOISELESS ###
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	70
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	71 # HIDDEN LAYER
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	72 self.hidden_activation = T.dot(self.input, self.w1) + self.b1
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	73 self.hidden = self.hid_activation_function(self.hidden_activation)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	74
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	75 # RECONSTRUCTION LAYER
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	76 self.output_activation = T.dot(self.hidden, self.w2) + self.b2
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	77 self.output = self.out_activation_function(self.output_activation)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	78
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	79 # RECONSTRUCTION COST
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	80 self.reconstruction_costs = self.build_reconstruction_costs(self.output)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	81 self.reconstruction_cost = T.mean(self.reconstruction_costs)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	82
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	83 # TOTAL COST
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	84 self.cost = self.reconstruction_cost
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	85 if self.regularize:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	86 self.cost = self.cost + self.regularization
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	87
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	88
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	89 ### WITH NOISE ###
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	90 self.corrupted_input = self.build_corrupted_input()
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	91
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	92 # HIDDEN LAYER
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	93 self.nhidden_activation = T.dot(self.corrupted_input, self.w1) + self.b1
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	94 self.nhidden = self.hid_activation_function(self.nhidden_activation)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	95
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	96 # RECONSTRUCTION LAYER
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	97 self.noutput_activation = T.dot(self.nhidden, self.w2) + self.b2
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	98 self.noutput = self.out_activation_function(self.noutput_activation)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	99
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	100 # RECONSTRUCTION COST
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	101 self.nreconstruction_costs = self.build_reconstruction_costs(self.noutput)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	102 self.nreconstruction_cost = T.mean(self.nreconstruction_costs)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	103
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	104 # TOTAL COST
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	105 self.ncost = self.nreconstruction_cost
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	106 if self.regularize:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	107 self.ncost = self.ncost + self.regularization
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	108
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	109
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	110 # GRADIENTS AND UPDATES
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	111 if self.tie_weights:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	112 self.params = self.w1, self.b1, self.b2
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	113 else:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	114 self.params = self.w1, self.w2, self.b1, self.b2
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	115 gradients = T.grad(self.ncost, self.params)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	116 updates = dict((p, p - self.lr * g) for p, g in zip(self.params, gradients))
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	117
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	118 # INTERFACE METHODS
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	119 self.update = theano.Method(self.input, self.ncost, updates)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	120 self.compute_cost = theano.Method(self.input, self.cost)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	121 self.noisify = theano.Method(self.input, self.corrupted_input)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	122 self.reconstruction = theano.Method(self.input, self.output)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	123 self.representation = theano.Method(self.input, self.hidden)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	124 self.reconstruction_through_noise = theano.Method(self.input, [self.corrupted_input, self.noutput])
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	125
503 c7ce66b4e8f4 Extensions to algorithms, and some cleanup (by defining linear_output result). Joseph Turian <turian@gmail.com> parents: 488 diff changeset	126 self.validate = theano.Method(self.input, [self.cost, self.output])
c7ce66b4e8f4 Extensions to algorithms, and some cleanup (by defining linear_output result). Joseph Turian <turian@gmail.com> parents: 488 diff changeset	127
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	128 def _instance_initialize(self, obj, input_size = None, hidden_size = None, seed = None, **init):
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	129 if (input_size is None) ^ (hidden_size is None):
486 5ccb1662f9f6 Small change to error message Joseph Turian <turian@gmail.com> parents: 485 diff changeset	130 raise ValueError("Must specify input_size and hidden_size or neither.")
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	131 super(DenoisingAA, self)._instance_initialize(obj, **init)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	132 if seed is not None:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	133 R = N.random.RandomState(seed)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	134 else:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	135 R = N.random
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	136 if input_size is not None:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	137 sz = (input_size, hidden_size)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	138 inf = 1/N.sqrt(input_size)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	139 hif = 1/N.sqrt(hidden_size)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	140 obj.w1 = R.uniform(size = sz, low = -inf, high = inf)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	141 if not self.tie_weights:
515 dc2d93590da0 Small bugfix in hidden weight initialization. Joseph Turian <turian@iro.umontreal.ca> parents: 512 diff changeset	142 obj.w2 = R.uniform(size = list(reversed(sz)), low = -hif, high = hif)
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	143 obj.b1 = N.zeros(hidden_size)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	144 obj.b2 = N.zeros(input_size)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	145 if seed is not None:
482 b15dad843c8c bugfix Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: 476 diff changeset	146 obj.seed(seed)
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	147 obj.__hide__ = ['params']
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	148
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	149 def build_regularization(self):
487 94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	150 """
94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	151 @todo: Why do we need this function?
94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	152 """
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	153 return T.zero() # no regularization!
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	154
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	155
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	156 class SigmoidXEDenoisingAA(DenoisingAA):
487 94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	157 """
94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	158 @todo: Merge this into the above.
488 e06666ac32d5 Added another todo Joseph Turian <turian@gmail.com> parents: 487 diff changeset	159 @todo: Default noise level for all daa levels
487 94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	160 """
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	161
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	162 def build_corrupted_input(self):
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	163 self.noise_level = theano.Member(T.scalar())
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	164 return self.random.binomial(T.shape(self.input), 1, 1 - self.noise_level) * self.input
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	165
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	166 def hid_activation_function(self, activation):
487 94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	167 return self.activation_function(activation)
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	168
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	169 def out_activation_function(self, activation):
487 94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	170 return self.activation_function(activation)
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	171
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	172 def build_reconstruction_costs(self, output):
487 94a4c5b7293b DAA code more generic: Joseph Turian <turian@gmail.com> parents: 486 diff changeset	173 return self.reconstruction_cost_function(self.input, output)
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	174
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	175 def build_regularization(self):
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	176 self.l2_coef = theano.Member(T.scalar())
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	177 if self.tie_weights:
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	178 return self.l2_coef * T.sum(self.w1 * self.w1)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	179 else:
485 e8c37244b54f Small bugfix in regularization Joseph Turian <turian@gmail.com> parents: 482 diff changeset	180 return self.l2_coef * (T.sum(self.w1 * self.w1) + T.sum(self.w2 * self.w2))
476 8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	181
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	182 def _instance_initialize(self, obj, input_size = None, hidden_size = None, seed = None, **init):
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	183 init.setdefault('noise_level', 0)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	184 init.setdefault('l2_coef', 0)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	185 super(SigmoidXEDenoisingAA, self)._instance_initialize(obj, input_size, hidden_size, seed, **init)
8fcd0f3d9a17 added a few algorithms Olivier Breuleux <breuleuo@iro.umontreal.ca> parents: diff changeset	186

Mercurial > pylearn

annotate algorithms/daa.py @ 672:27b1344a57b1