NormalizedZerosumHebbianRule.hpp File Reference

#include <optimization/OptimizationFunction.hpp>
#include <random>

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Classes
class	mic::neural_nets::learning::NormalizedZerosumHebbianRule< eT >
	Updates according to a modified Hebbian rule (wij += ni * f(x, y)) with additional normalization and zero summing for optimal edge detection. More...

Namespaces
	mic
	mic::neural_nets
	mic::neural_nets::learning

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.

: Alexis Asseman alexi.nosp@m.s.as.nosp@m.seman.nosp@m.@ibm.nosp@m..com, Tomasz Kornuta tkorn.nosp@m.ut@u.nosp@m.s.ibm.nosp@m..com : May 30, 2017

Copyright (c) 2017, Tomasz Kornuta, IBM Corporation. All rights reserved.

Definition in file NormalizedZerosumHebbianRule.hpp.