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Functions648 in github.com/andersbll/deeppy

⨍ Functions 648◇ Types & classes 144
Methodfprop
(self, x)
deeppy/feedforward/dropout_layers.py:11
Methodfrom_any
(cls, arg)
deeppy/feed.py:18
Methodfrom_any
(cls, arg)
deeppy/filler.py:10
Methodfrom_array
(cls, array)
deeppy/expr/base.py:118
Functionfun
(x)
test/unit/test_loss.py:16
Functionfun
(x)
test/unit/feedforward/test_layers.py:66
Functionfun_grad
(x)
deeppy/misc/test.py:81
Methodgaussian_kernel
(sigma, size=None)
deeppy/feedforward/convnet_layers.py:103
Functiongenerate_example_rst
Generate the list of examples, as well as the contents of examples.
doc/sphinx_ext/gen_rst.py:171
Methodgrad
(self, pred, target)
deeppy/loss.py:60
Methodgrad
(self, pred, target)
deeppy/loss.py:78
Methodgrad
(self, pred, target)
deeppy/loss.py:93
Methodgrad
Returns a parameter step calculated from the gradient. This differs from grad_array() as the parameter may be shared such that its gr
deeppy/parameter.py:54
Methodgrad
(self)
deeppy/parameter.py:100
Methodgrad_array
Returns the gradient array.
deeppy/parameter.py:46
Functiongradclose
(a, b, rtol=None, atol=None)
deeppy/misc/test.py:22
Methodimgs
(self)
deeppy/dataset/celeba.py:59
Methodin_degree
(self, nodes=None)
deeppy/expr/graph/digraph.py:68
Methodinit_state
(self, param)
deeppy/train/learn_rules.py:8
Methodinit_state
(self, param)
deeppy/train/learn_rules.py:20
Methodinit_state
(self, param)
deeppy/train/learn_rules.py:38
Methodinitialize_options
(self)
setup.py:32
Methodinitialize_options
(self)
setup.py:51
Methodinverse_transform
(self, x, copy=True)
deeppy/preprocess/scalers.py:27
Methodinverse_transform
(self, x, copy=True)
deeppy/preprocess/scalers.py:59
Functionis_archive
(filepath)
deeppy/dataset/util.py:52
Methodlandmarks
(self, kind='68')
deeppy/dataset/lfw.py:114
Functionleaky_relu
(x)
deeppy/expr/nnet/activation.py:66
Functionload_idx
(filepath)
deeppy/dataset/util.py:104
Functionlog
(x)
deeppy/expr/elementwise.py:215
Functionmaximum
(lhs, rhs)
deeppy/expr/elementwise.py:227
Functionmean
(x, axis=None, keepdims=False)
deeppy/expr/reduce.py:43
Functionminimum
(lhs, rhs)
deeppy/expr/elementwise.py:231
Functionmultiply
(lhs, rhs)
deeppy/expr/elementwise.py:235
Functionnegative
(x)
deeppy/expr/elementwise.py:207
Functionnn_bprop
()
examples/profile_net.py:44
Functionnormal
(loc=0, scale=1.0, size=None)
deeppy/expr/random.py:33
Methodparams
List of Parameter objects.
deeppy/base.py:17
Methodparams
(self)
deeppy/base.py:42
Methodparams
(self)
deeppy/expr/nnet/affine.py:32
Methodparams
(self)
deeppy/expr/nnet/affine.py:59
Methodparams
(self)
deeppy/expr/nnet/spatial.py:72
Methodparams
(self)
deeppy/expr/nnet/batch_normalization.py:41
Methodparams
(self)
deeppy/expr/nnet/batch_normalization.py:146
Methodparams
(self)
deeppy/feedforward/layers.py:51
Methodparams
(self)
deeppy/feedforward/activation_layers.py:64
Methodparams
(self)
deeppy/feedforward/convnet_layers.py:50
Methodparams
(self)
deeppy/autoencoder/autoencoder.py:36
Methodparams
(self)
deeppy/autoencoder/stacked_autoencoder.py:65
Methodparams
(self)
deeppy/model/adversarial.py:45
Methodphase
(self)
deeppy/base.py:30
Methodphase
(self)
deeppy/base.py:59
Functionpower
(lhs, rhs)
deeppy/expr/elementwise.py:243
Methodpredict
Calculate the output for the given input.
deeppy/model/feedforward.py:51
Methodpredict
Calculate the output for the given input.
deeppy/model/feedforward.py:69
Methodpredict_proba
Calculate the output probabilities for the given input.
deeppy/model/feedforward.py:73
Methodreconstruct
(self, feed)
deeppy/model/variational_autoencoder.py:118
Functionrelu
(x)
deeppy/expr/nnet/activation.py:70
Functionreverse
(graph)
deeppy/expr/graph/digraph.py:119
Methodrun
(self)
setup.py:57
Methodrun_tests
(self)
setup.py:41
Methodsetup
(self, *array_shapes)
deeppy/base.py:73
Methodsetup
(self, shape)
deeppy/parameter.py:97
Methodsetup
(self)
deeppy/expr/linalg.py:6
Methodsetup
(self)
deeppy/expr/base.py:144
Methodsetup
(self)
deeppy/expr/base.py:165
Methodsetup
(self)
deeppy/expr/base.py:201
Methodsetup
(self)
deeppy/expr/base.py:220
Methodsetup
(self)
deeppy/expr/base.py:242
Methodsetup
(self)
deeppy/expr/reduce.py:11
Methodsetup
(self)
deeppy/expr/reduce.py:19
Methodsetup
(self)
deeppy/expr/util.py:30
Methodsetup
(self)
deeppy/expr/array.py:7
Methodsetup
(self)
deeppy/expr/array.py:31
Methodsetup
(self)
deeppy/expr/array.py:59
Methodsetup
(self)
deeppy/expr/array.py:84
Methodsetup
(self)
deeppy/expr/array.py:117
Methodsetup
(self)
deeppy/expr/array.py:139
Methodsetup
(self)
deeppy/expr/array.py:170
Methodsetup
(self)
deeppy/expr/nnet/loss.py:25
Methodsetup
(self)
deeppy/expr/nnet/one_hot.py:10
Methodsetup
(self)
deeppy/expr/nnet/one_hot.py:19
Methodsetup
(self)
deeppy/expr/nnet/dropout.py:38
Methodsetup
(self)
deeppy/expr/nnet/spatial.py:100
Methodsetup
(self)
deeppy/expr/nnet/spatial.py:160
Methodsetup
(self)
deeppy/expr/nnet/batch_normalization.py:128
Methodsetup
(self, x_shape)
deeppy/feedforward/layers.py:36
Methodsetup
(self, x_shape)
deeppy/feedforward/activation_layers.py:60
Methodsetup
(self, x_shape)
deeppy/feedforward/convnet_layers.py:30
Methodsetup
(self, x_shape)
deeppy/feedforward/convnet_layers.py:123
Methodsetup
(self, x_shape, y_shape=None)
deeppy/feedforward/neural_network.py:17
Methodsetup
(self, x_shape)
deeppy/autoencoder/autoencoder.py:25
Methodsetup
(self, x_shape)
deeppy/autoencoder/stacked_autoencoder.py:13
Methodsetup
(self, x_shape)
deeppy/model/variational_autoencoder.py:81
Methodsetup
(self, x_shape)
deeppy/model/adversarial.py:25
Methodsetup
(self, x_shape, y_shape=None)
deeppy/model/feedforward.py:17
Methodsetup
(self, x1_shape, x2_shape, y_shape=None)
deeppy/siamese/siamese_network.py:24
Methodshapes
(self)
deeppy/feed.py:56
Methodshapes
(self)
deeppy/feed.py:86
Methodshapes
(self)
deeppy/siamese/feed.py:59
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