From fcf7ab6daadcf295e51c7710febc524396933b26 Mon Sep 17 00:00:00 2001 From: Davis King Date: Sat, 25 Jun 2016 09:40:11 -0400 Subject: [PATCH] Updated examples to refer to the correct file names. --- examples/dnn_imagenet_ex.cpp | 4 ++-- examples/dnn_imagenet_train_ex.cpp | 2 +- examples/dnn_inception_ex.cpp | 4 ++-- examples/dnn_introduction2_ex.cpp | 2 +- 4 files changed, 6 insertions(+), 6 deletions(-) diff --git a/examples/dnn_imagenet_ex.cpp b/examples/dnn_imagenet_ex.cpp index 00acbaca2..6763bd861 100644 --- a/examples/dnn_imagenet_ex.cpp +++ b/examples/dnn_imagenet_ex.cpp @@ -10,8 +10,8 @@ about 2 weeks. This pretrained model has a top5 error of 7.572% on the 2012 imagenet validation dataset. - For an introduction to dlib's DNN module read the dnn_mnist_ex.cpp and - dnn_mnist_advanced_ex.cpp example programs. + For an introduction to dlib's DNN module read the dnn_introduction_ex.cpp and + dnn_introduction2_ex.cpp example programs. Finally, these tools will use CUDA and cuDNN to drastically accelerate diff --git a/examples/dnn_imagenet_train_ex.cpp b/examples/dnn_imagenet_train_ex.cpp index b2ecc918f..20bd1a1ad 100644 --- a/examples/dnn_imagenet_train_ex.cpp +++ b/examples/dnn_imagenet_train_ex.cpp @@ -4,7 +4,7 @@ network used by the dnn_imagenet_ex.cpp example program. You should be familiar with dlib's DNN module before reading this example - program. So read dnn_mnist_ex.cpp and dnn_mnist_advanced_ex.cpp first. + program. So read dnn_inception_ex.cpp and dnn_introduction2_ex.cpp first. */ diff --git a/examples/dnn_inception_ex.cpp b/examples/dnn_inception_ex.cpp index f3f2bfd14..9ebc23f25 100644 --- a/examples/dnn_inception_ex.cpp +++ b/examples/dnn_inception_ex.cpp @@ -2,8 +2,8 @@ /* This is an example illustrating the use of the deep learning tools from the dlib C++ Library. I'm assuming you have already read the introductory - dnn_mnist_ex.cpp and dnn_mnist_advanced_ex.cpp examples. In this example we - are going to show how to create inception networks. + dnn_introduction_ex.cpp and dnn_introduction2_ex.cpp examples. In this + example we are going to show how to create inception networks. An inception network is composed of inception blocks of the form: diff --git a/examples/dnn_introduction2_ex.cpp b/examples/dnn_introduction2_ex.cpp index 6e4f0a844..201d273bf 100644 --- a/examples/dnn_introduction2_ex.cpp +++ b/examples/dnn_introduction2_ex.cpp @@ -1,7 +1,7 @@ // The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt /* This is an example illustrating the use of the deep learning tools from the - dlib C++ Library. I'm assuming you have already read the dnn_mnist_ex.cpp + dlib C++ Library. I'm assuming you have already read the dnn_inception_ex.cpp example. So in this example program I'm going to go over a number of more advanced parts of the API, including: - Using multiple GPUs