OpenANN
1.1.0
An open source library for artificial neural networks.
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Classes | |
class | StoppingCriteria |
class | Optimizer |
class | MBSGD |
class | LMA |
class | CG |
class | LBFGS |
Functions | |
def | __cinit__ |
def | __dealloc__ |
def | __configure_stopping_criteria__ |
def | __cinit__ |
def | __str__ |
def | optimize |
def | __cinit__ |
def | __cinit__ |
Variables | |
thisptr | |
stopping_criteria | |
def optimization.__cinit__ | ( | self, | |
stop = {} |
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) |
def optimization.__cinit__ | ( | self) |
def optimization.__cinit__ | ( | self, | |
object, | |||
stop = {} , |
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learning_rate = 0.01 , |
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momentum = 0.5 , |
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batch_size = 10 , |
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nesterov = False , |
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learning_rate_decay = 1.0 , |
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min_learning_rate = 0.0 , |
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momentum_gain = 0.0 , |
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max_momentum = 1.0 , |
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min_gain = 1.0 , |
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max_gain = 1.0 |
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) |
def optimization.__cinit__ | ( | self, | |
stop = {} , |
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m = 10 |
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) |
def optimization.__configure_stopping_criteria__ | ( | self, | |
stop | |||
) |
def optimization.__dealloc__ | ( | self) |
def optimization.__str__ | ( | self) |
def optimization.optimize | ( | self, | |
net, | |||
dataset | |||
) |
Perform optimization until stopping criteria are satisfied.
optimization.stopping_criteria |
optimization.thisptr |