sugartensor.sg_optimize module

class sugartensor.sg_optimize.AdaMaxOptimizer(learning_rate=0.001, beta1=0.9, beta2=0.999, use_locking=False, name='Adamax')

Bases: tensorflow.python.training.optimizer.Optimizer

Optimizer that implements the Adamax algorithm. See [Kingma et. al., 2014](http://arxiv.org/abs/1412.6980) ([pdf](http://arxiv.org/pdf/1412.6980.pdf)).

excerpted from https://github.com/openai/iaf/blob/master/tf_utils/adamax.py

@@__init__

class sugartensor.sg_optimize.MaxPropOptimizer(learning_rate=0.001, beta2=0.999, use_locking=False, name='MaxProp')

Bases: tensorflow.python.training.optimizer.Optimizer

Optimizer that implements the MaxProp algorithm by buriburisuri@gmail.com.