GradPID.hpp File Reference

#include <optimization/OptimizationFunction.hpp>

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Classes
class	mic::neural_nets::optimization::GradPID< eT >
	GradPID - adaptive gradient descent with proportional, integral and derivative coefficients. More...
class	mic::neural_nets::optimization::AdaGradPID< eT >
	AdaGradPID - adaptive gradient descent with proportional, integral and derivative coefficients. More...

Namespaces
	mic
	mic::neural_nets
	mic::neural_nets::optimization

Detailed Description

Copyright (C) tkornuta, IBM Corporation 2015-2019

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

 http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

: Tomasz Kornuta tkorn.nosp@m.ut@u.nosp@m.s.ibm.nosp@m..com : Nov 18, 2016

Copyright (c) 2016, IBM Corporation. All rights reserved.

Definition in file GradPID.hpp.