Lasagne
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lasagne.layers
lasagne.updates
lasagne.init
lasagne.nonlinearities
lasagne.objectives
lasagne.regularization
lasagne.random
lasagne.utils
Lasagne
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Index
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B
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C
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D
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E
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F
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G
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H
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I
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M
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N
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O
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P
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R
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V
A
adadelta() (in module lasagne.updates)
adagrad() (in module lasagne.updates)
adam() (in module lasagne.updates)
add_param() (lasagne.layers.Layer method)
aggregate() (in module lasagne.objectives)
apply_momentum() (in module lasagne.updates)
apply_nesterov_momentum() (in module lasagne.updates)
apply_penalty() (in module lasagne.regularization)
as_theano_expression() (in module lasagne.utils)
B
bc01_to_c01b (in module lasagne.layers.cuda_convnet)
binary_crossentropy() (in module lasagne.objectives)
C
c01b_to_bc01 (in module lasagne.layers.cuda_convnet)
categorical_crossentropy() (in module lasagne.objectives)
compute_norms() (in module lasagne.utils)
concat (in module lasagne.layers)
ConcatLayer (class in lasagne.layers)
Constant (class in lasagne.init)
Conv1DLayer (class in lasagne.layers)
Conv2DCCLayer (class in lasagne.layers.cuda_convnet)
Conv2DDNNLayer (class in lasagne.layers.dnn)
Conv2DLayer (class in lasagne.layers)
Conv2DMMLayer (class in lasagne.layers.corrmm)
count_params() (in module lasagne.layers)
create_param() (in module lasagne.utils)
CustomRecurrentLayer (class in lasagne.layers)
D
DenseLayer (class in lasagne.layers)
dimshuffle (in module lasagne.layers)
DimshuffleLayer (class in lasagne.layers)
dropout (in module lasagne.layers)
DropoutLayer (class in lasagne.layers)
E
ElemwiseMergeLayer (class in lasagne.layers)
ElemwiseSumLayer (class in lasagne.layers)
EmbeddingLayer (class in lasagne.layers)
F
FeaturePoolLayer (class in lasagne.layers)
FeatureWTALayer (class in lasagne.layers)
flatten (in module lasagne.layers)
FlattenLayer (class in lasagne.layers)
floatX() (in module lasagne.utils)
G
Gate (class in lasagne.layers)
GaussianNoiseLayer (class in lasagne.layers)
get_all_layers() (in module lasagne.layers)
get_all_param_values() (in module lasagne.layers)
get_all_params() (in module lasagne.layers)
get_output() (in module lasagne.layers)
get_output_for() (lasagne.layers.CustomRecurrentLayer method)
(lasagne.layers.DropoutLayer method)
(lasagne.layers.GRULayer method)
(lasagne.layers.GaussianNoiseLayer method)
(lasagne.layers.LSTMLayer method)
(lasagne.layers.Layer method)
(lasagne.layers.MergeLayer method)
get_output_shape() (in module lasagne.layers)
get_output_shape_for() (lasagne.layers.Layer method)
(lasagne.layers.MergeLayer method)
get_params() (lasagne.layers.Layer method)
get_rng() (in module lasagne.random)
get_W_shape() (lasagne.layers.Conv1DLayer method)
(lasagne.layers.Conv2DLayer method)
GlobalPoolLayer (class in lasagne.layers)
Glorot (class in lasagne.init)
GlorotNormal (class in lasagne.init)
GlorotUniform (class in lasagne.init)
GRULayer (class in lasagne.layers)
H
He (class in lasagne.init)
HeNormal (class in lasagne.init)
HeUniform (class in lasagne.init)
I
Initializer (class in lasagne.init)
InputLayer (class in lasagne.layers)
L
l1() (in module lasagne.regularization)
l2() (in module lasagne.regularization)
lasagne.init (module)
lasagne.layers (module)
lasagne.layers.base (module)
lasagne.layers.conv (module)
lasagne.layers.corrmm (module)
lasagne.layers.cuda_convnet (module)
lasagne.layers.dense (module)
lasagne.layers.dnn (module)
lasagne.layers.embedding (module)
lasagne.layers.helper (module)
lasagne.layers.input (module)
lasagne.layers.merge (module)
lasagne.layers.noise (module)
lasagne.layers.pool (module)
lasagne.layers.recurrent (module)
lasagne.layers.shape (module)
lasagne.nonlinearities (module)
lasagne.objectives (module)
lasagne.random (module)
lasagne.regularization (module)
lasagne.updates (module)
lasagne.utils (module)
Layer (class in lasagne.layers)
leaky_rectify() (in module lasagne.nonlinearities)
LeakyRectify (class in lasagne.nonlinearities)
linear() (in module lasagne.nonlinearities)
LSTMLayer (class in lasagne.layers)
M
MaxPool1DLayer (class in lasagne.layers)
MaxPool2DCCLayer (class in lasagne.layers.cuda_convnet)
MaxPool2DDNNLayer (class in lasagne.layers.dnn)
MaxPool2DLayer (class in lasagne.layers)
MergeLayer (class in lasagne.layers)
momentum() (in module lasagne.updates)
N
nesterov_momentum() (in module lasagne.updates)
NINLayer (class in lasagne.layers)
NINLayer_c01b (class in lasagne.layers.cuda_convnet)
NonlinearityLayer (class in lasagne.layers)
norm_constraint() (in module lasagne.updates)
Normal (class in lasagne.init)
O
one_hot() (in module lasagne.utils)
Orthogonal (class in lasagne.init)
P
pad (in module lasagne.layers)
PadLayer (class in lasagne.layers)
Pool2DDNNLayer (class in lasagne.layers.dnn)
Pool2DLayer (class in lasagne.layers)
R
rectify() (in module lasagne.nonlinearities)
RecurrentLayer (class in lasagne.layers)
regularize_layer_params() (in module lasagne.regularization)
regularize_layer_params_weighted() (in module lasagne.regularization)
regularize_network_params() (in module lasagne.regularization)
reshape (in module lasagne.layers)
ReshapeLayer (class in lasagne.layers)
rmsprop() (in module lasagne.updates)
S
sample() (lasagne.init.Initializer method)
set_all_param_values() (in module lasagne.layers)
set_rng() (in module lasagne.random)
sgd() (in module lasagne.updates)
shared_empty() (in module lasagne.utils)
ShuffleBC01ToC01BLayer (class in lasagne.layers.cuda_convnet)
ShuffleC01BToBC01Layer (class in lasagne.layers.cuda_convnet)
sigmoid() (in module lasagne.nonlinearities)
SliceLayer (class in lasagne.layers)
softmax() (in module lasagne.nonlinearities)
Sparse (class in lasagne.init)
squared_error() (in module lasagne.objectives)
T
tanh() (in module lasagne.nonlinearities)
total_norm_constraint() (in module lasagne.updates)
U
Uniform (class in lasagne.init)
unique() (in module lasagne.utils)
V
very_leaky_rectify() (in module lasagne.nonlinearities)
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