Program for visualization of features of convolutional neural net trained on MNIST digits. 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/BackpropagationNeuralNetwork.hpp>
#include <encoders/MatrixXfMatrixXfEncoder.hpp>
#include <encoders/UIntMatrixXfEncoder.hpp>

Include dependency graph for mnist_convnet_features_visualization_test.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< float > *	w_conv10
	Windows for displaying activations. More...

WindowGrayscaleBatch< float > *	w_conv11

WindowGrayscaleBatch< float > *	w_conv12

WindowGrayscaleBatch< float > *	w_conv13

WindowGrayscaleBatch< float > *	w_conv14

WindowGrayscaleBatch< float > *	w_conv15

WindowGrayscaleBatch< float > *	w_conv16

WindowGrayscaleBatch< float > *	w_conv20

WindowGrayscaleBatch< float > *	w_conv21

WindowGrayscaleBatch< float > *	w_conv22

WindowGrayscaleBatch< float > *	w_conv23

WindowGrayscaleBatch< float > *	w_conv24

WindowGrayscaleBatch< float > *	w_conv25

WindowGrayscaleBatch< float > *	w_conv30

WindowGrayscaleBatch< float > *	w_conv31

WindowGrayscaleBatch< float > *	w_conv32

WindowGrayscaleBatch< float > *	w_conv33

WindowGrayscaleBatch< float > *	w_conv34

WindowGrayscaleBatch< float > *	w_conv35

WindowCollectorChart< float > *	w_chart
	Window for displaying chart with statistics. More...

mic::utils::DataCollectorPtr < std::string, float >	collector_ptr
	Data collector. More...

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

BackpropagationNeuralNetwork < float >	neural_net
	Multi-layer neural network. More...

mic::encoders::MatrixXfMatrixXfEncoder *	mnist_encoder
	MNIST matrix encoder. More...

mic::encoders::UIntMatrixXfEncoder *	label_encoder
	Label 2 matrix encoder (1 hot). More...

const size_t	batch_size = 1

const char *	convent_filename = "nn_convent.txt"

const char *	convnet_log = "nn_convent_log.csv"

Detailed Description

Program for visualization of features of convolutional neural net trained on MNIST digits.

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.