Penne
Introduction
Loading
GPU support
Expressions
Evaluating
Arrays
Reference
Models
Parameters
Training
Loading and Saving
Reference
Modules
Neural network operations
Recurrent networks
Reference
Convolution and pooling
Minibatching
“Minibatch-first” convention
Sequences
Training
Debugging
Gradient checking
Printing expressions
Tracing
Expression tracebacks
Penne
Docs
»
Index
A
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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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L
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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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S
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T
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U
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V
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Z
A
AdaDelta (class in penne.optimize)
Adadelta (in module penne.optimize)
AdaGrad (class in penne.optimize)
Adagrad (in module penne.optimize)
Adam (class in penne.optimize)
add() (in module penne)
amax() (in module penne)
amin() (in module penne)
asum() (in module penne)
B
batches() (in module penne.lm)
C
clip() (in module penne)
compute_value() (in module penne)
compute_values() (in module penne)
concatenate() (in module penne)
constant() (in module penne)
convolve (class in penne.conv)
crossentropy() (in module penne)
D
distance2() (in module penne)
divide() (in module penne)
dot() (in module penne)
Dropout (class in penne)
E
exp() (in module penne)
expand_dims() (in module penne)
F
full() (in module penne)
G
GatedRecurrentUnit (class in penne.recurrent)
GRU (in module penne.recurrent)
H
hardtanh() (in module penne)
L
Layer (class in penne)
load_model() (in module penne)
log() (in module penne)
logsoftmax() (in module penne)
LongShortTermMemory (class in penne.recurrent)
LSTM (in module penne.recurrent)
M
Map (class in penne.recurrent)
max_pool() (in module penne.conv)
maximum() (in module penne)
mean() (in module penne)
mean_pool() (in module penne.conv)
minimum() (in module penne)
Momentum (class in penne.optimize)
multiply() (in module penne)
N
NesterovMomentum (class in penne.optimize)
O
ones() (in module penne)
P
pack_batch() (in module penne.lm)
parameter() (in module penne)
penne.conv (module)
penne.recurrent (module)
pool (class in penne.conv)
power() (in module penne)
R
rectify() (in module penne)
reshape() (in module penne)
RMSprop (class in penne.optimize)
S
save_model() (in module penne)
setitem() (in module penne)
SGD (in module penne.optimize)
sigmoid() (in module penne)
Simple (class in penne.recurrent)
softmax() (in module penne)
Stack (class in penne.recurrent)
stack() (in module penne)
start() (penne.recurrent.Transducer method)
state() (penne.recurrent.Transducer method)
step() (penne.recurrent.Simple method)
StochasticGradientDescent (class in penne.optimize)
subtract() (in module penne)
T
tanh() (in module penne)
transduce() (penne.recurrent.Transducer method)
Transducer (class in penne.recurrent)
transpose() (in module penne)
U
unpack_batch() (in module penne.lm)
V
vecdot() (in module penne)
Z
zeros() (in module penne)