Program for visualization of hebbian formed filters trained on MNIST digits. : 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 : June 8, 2017. More...

#include <boost/thread/thread.hpp>
#include <boost/bind.hpp>
#include <importers/MNISTMatrixImporter.hpp>
#include <logger/Log.hpp>
#include <logger/ConsoleOutput.hpp>
#include <application/ApplicationState.hpp>
#include <configuration/ParameterServer.hpp>
#include <opengl/visualization/WindowManager.hpp>
#include <opengl/visualization/WindowGrayscaleBatch.hpp>
#include <opengl/visualization/WindowCollectorChart.hpp>
#include <mlnn/HebbianNeuralNetwork.hpp>
#include <encoders/ColMatrixEncoder.hpp>
#include <encoders/UIntMatrixEncoder.hpp>
#include <mlnn/experimental/ConvHebbian.hpp>

Include dependency graph for mnist_conv_hebbian.cpp:

Go to the source code of this file.

Functions
void	batch_function (void)
	Function for batch sampling. More...

int	main (int argc, char *argv[])
	Main program function. Runs two threads: main (for GLUT) and another one (for data processing). More...

Variables
WindowGrayscaleBatch< double > *	w_input
	Window for displaying the MNIST batch. More...

WindowGrayscaleBatch< double > *	w_weights1
	Window for displaying the weights. More...

WindowGrayscaleBatch< double > *	w_output

WindowGrayscaleBatch< double > *	w_reconstruction

WindowGrayscaleBatch< double > *	w_similarity

WindowCollectorChart< double > *	w_chart
	Data collector. More...

mic::utils::DataCollectorPtr < std::string, double >	collector_ptr

mic::importers::MNISTMatrixImporter < double > *	importer
	MNIST importer. More...

HebbianNeuralNetwork< double >	neural_net
	Multi-layer neural network. More...

mic::encoders::ColMatrixEncoder < double > *	mnist_encoder
	MNIST matrix encoder. More...

const size_t	patch_size = 28
	Label 2 matrix encoder (1 hot). More...

const size_t	batch_size = 1

const size_t	input_channels = 1

const size_t	filter_size [] = {5}

const size_t	filters [] = {16}

const size_t	stride [] = {1}

Detailed Description

Program for visualization of hebbian formed filters trained on MNIST digits. : 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 : June 8, 2017.

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.

Definition in file mnist_conv_hebbian.cpp.