LostTech.TensorFlow : API Documentation

Type RMSPropOptimizer

Namespace tensorflow.train

Parent Optimizer

Interfaces IRMSPropOptimizer

Optimizer that implements the RMSProp algorithm.

See the [paper](http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf).



Public static methods

RMSPropOptimizer NewDyn(object learning_rate, ImplicitContainer<T> decay, ImplicitContainer<T> momentum, ImplicitContainer<T> epsilon, ImplicitContainer<T> use_locking, ImplicitContainer<T> centered, ImplicitContainer<T> name)

Construct a new RMSProp optimizer.

Note that in the dense implementation of this algorithm, variables and their corresponding accumulators (momentum, gradient moving average, square gradient moving average) will be updated even if the gradient is zero (i.e. accumulators will decay, momentum will be applied). The sparse implementation (used when the gradient is an `IndexedSlices` object, typically because of tf.gather or an embedding lookup in the forward pass) will not update variable slices or their accumulators unless those slices were used in the forward pass (nor is there an "eventual" correction to account for these omitted updates). This leads to more efficient updates for large embedding lookup tables (where most of the slices are not accessed in a particular graph execution), but differs from the published algorithm.
object learning_rate
A Tensor or a floating point value. The learning rate.
ImplicitContainer<T> decay
Discounting factor for the history/coming gradient
ImplicitContainer<T> momentum
A scalar tensor.
ImplicitContainer<T> epsilon
Small value to avoid zero denominator.
ImplicitContainer<T> use_locking
If True use locks for update operation.
ImplicitContainer<T> centered
If True, gradients are normalized by the estimated variance of the gradient; if False, by the uncentered second moment. Setting this to True may help with training, but is slightly more expensive in terms of computation and memory. Defaults to False.
ImplicitContainer<T> name
Optional name prefix for the operations created when applying gradients. Defaults to "RMSProp".

Public properties

object PythonObject get;