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github.com/andersbll/deeppy
/ functions
Functions
648 in github.com/andersbll/deeppy
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Functions
648
◇
Types & classes
144
Function
sigmoid
(x)
deeppy/expr/nnet/activation.py:74
Function
softmax
(x)
deeppy/expr/nnet/activation.py:78
Function
softplus
(x)
deeppy/expr/nnet/activation.py:82
Method
step
(self, param, state)
deeppy/train/learn_rules.py:11
Method
step
(self, param, last_step)
deeppy/train/learn_rules.py:24
Method
step
(self, param, mean_square)
deeppy/train/learn_rules.py:42
Function
subtract
(lhs, rhs)
deeppy/expr/elementwise.py:223
Function
sum
(x, axis=None, keepdims=False)
deeppy/expr/reduce.py:47
Function
tanh
(x)
deeppy/expr/elementwise.py:247
Function
test_activation
()
test/unit/feedforward/test_activation_layers.py:13
Function
test_activations
()
test/unit/expr/nnet/test_activation.py:12
Function
test_binary
()
test/unit/expr/test_elementwise.py:32
Function
test_binarycrossentropy
()
test/unit/test_loss.py:44
Function
test_broadcast
()
test/unit/expr/test_elementwise.py:90
Function
test_classification
()
test/integration/test_mlp.py:6
Function
test_convolution
()
test/unit/feedforward/test_convnet_layers.py:28
Function
test_expressions
()
test/unit/expr/test_elementwise.py:58
Function
test_fully_connected
()
test/unit/feedforward/test_layers.py:120
Function
test_meansquarederror
()
test/unit/test_loss.py:58
Function
test_pool
()
test/unit/feedforward/test_convnet_layers.py:62
Function
test_softmaxcrossentropy
()
test/unit/test_loss.py:30
Function
test_unary
()
test/unit/expr/test_elementwise.py:12
Function
to_b01c
(imgs_bc01)
deeppy/misc/image.py:83
Function
to_bc01
(imgs_b01c)
deeppy/misc/image.py:77
Function
topsort
(graph, nodes=None)
deeppy/expr/graph/digraph.py:89
Function
transpose
(x)
deeppy/expr/array.py:188
Function
uniform
(low=0, high=1.0, size=None)
deeppy/expr/random.py:37
Method
update
(self, x, y)
deeppy/feedforward/neural_network.py:27
Method
update
(self, x)
deeppy/autoencoder/autoencoder.py:71
Method
update
(self, x)
deeppy/autoencoder/autoencoder.py:128
Method
update
(self, x)
deeppy/autoencoder/stacked_autoencoder.py:23
Method
update
(self, x)
deeppy/model/variational_autoencoder.py:94
Method
update
(self, x, y)
deeppy/model/feedforward.py:30
Method
update
(self, x1, x2, y)
deeppy/siamese/siamese_network.py:39
Method
value
(self, t)
deeppy/train/annealers.py:21
Method
value
(self, t)
deeppy/train/annealers.py:30
Method
value
(self, t)
deeppy/train/annealers.py:41
Method
visit_Attribute
(self, node)
doc/sphinx_ext/gen_rst.py:380
Method
visit_ImportFrom
(self, node)
doc/sphinx_ext/gen_rst.py:374
Method
visit_Name
(self, node)
doc/sphinx_ext/gen_rst.py:377
Method
x_shape
(self)
deeppy/feed.py:52
Method
y_shape
(self, x_shape)
deeppy/loss.py:68
Method
y_shape
Calculate shape of this layer's output. x_shape[0] is the number of samples in the input. x_shape[1:] is the shape of the feature.
deeppy/feedforward/layers.py:21
Method
y_shape
(self, x_shape)
deeppy/feedforward/activation_layers.py:36
Method
y_shape
(self, x_shape)
deeppy/feedforward/convnet_layers.py:97
Method
y_shape
(self, x_shape)
deeppy/feedforward/convnet_layers.py:157
Method
y_shape
(self, x_shape)
deeppy/feedforward/dropout_layers.py:28
Method
y_shape
(self)
deeppy/siamese/feed.py:55
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