[trivial] Reorganize README.md files

This is Proposal PR with issue #1974

- Remove Exmaple contents in nntrainer/README.md
- Add Example contents in nntrainer/Application/README.md
- Close #1974

Signed-off-by: DonghakPark <donghak.park@samsung.com>

diff --git a/Applications/README.md b/Applications/README.md
index 94128a9..8d58b97 100644 (file)
--- a/Applications/README.md
+++ b/Applications/README.md
@@ -3,3 +3,56 @@ title: Applications
 ...
 
 # Applications
+
+#### [Custom Shortcut Application](https://github.com/nnstreamer/nntrainer/tree/main/Applications/Tizen_native/CustomShortcut)
+
+A demo application which enable user defined custom shortcut on galaxy watch.
+
+#### [MNIST Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/MNIST)
+
+An example to train mnist dataset. It consists two convolution 2d layer, 2 pooling 2d layer, flatten layer and fully connected layer.
+
+#### [Reinforcement Learning Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/ReinforcementLearning/DeepQ)
+
+A reinforcement learning example with cartpole game. It is using DeepQ algorithm.
+
+#### [Transfer Learning Examples](https://github.com/nnstreamer/nntrainer/tree/main/Applications/TransferLearning)
+
+Transfer learning examples with for image classification using the Cifar 10 dataset and for OCR. TFlite is used for feature extractor and modify last layer (fully connected layer) of network.
+
+#### [ResNet Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/Resnet)
+
+An example to train resnet18 network.
+
+#### [VGG Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/VGG)
+
+An example to train vgg16 network.
+
+#### [ProductRating Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/ProductRatings)
+
+This application contains a simple embedding-based model that predicts ratings given a user and a product.
+
+#### [SimpleShot Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/SimpleShot)
+
+An example to demonstrate few-shot learning : SimpleShot
+
+#### [Custom Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/Custom)
+
+An example to demonstrate how to create custom layers, optimizers or other supported objects.
+
+<!-- #### Tizen CAPI Example -->
+
+<!-- An example to demonstrate c api for Tizen. It is same transfer learing but written with tizen c api.~ -->
+<!-- Deleted instead moved to a [test](https://github.com/nnstreamer/nntrainer/blob/master/test/tizen_capi/unittest_tizen_capi.cpp) -->
+
+#### [KNN Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/KNN)
+
+A transfer learning example with for image classification using the Cifar 10 dataset. TFlite is used for feature extractor and compared with KNN.
+
+#### [Logistic Regression Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/LogisticRegression)
+
+A logistic regression example using NNTrainer.
+
+#### [Alexnet Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/AlexNet)
+
+An example to train Alexnet(Fused) network with CIFAR100 Dataset

diff --git a/README.md b/README.md
index 0f9c370..b5f69f3 100644 (file)
--- a/README.md
+++ b/README.md
@@ -166,58 +166,6 @@ NNTrainer provides
 Currently, we provide [C APIs](https://github.com/nnstreamer/nntrainer/blob/master/api/capi/include/nntrainer.h) for Tizen. [C++ APIs](https://github.com/nnstreamer/nntrainer/blob/master/api/ccapi/include) are also provided for other platform. Java & C# APIs will be provided soon.
 
 
-### Examples for NNTrainer
-
-#### [Custom Shortcut Application](https://github.com/nnstreamer/nntrainer/tree/main/Applications/Tizen_native/CustomShortcut)
-
-
-A demo application which enable user defined custom shortcut on galaxy watch.
-
-#### [MNIST Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/MNIST)
-
-An example to train mnist dataset. It consists two convolution 2d layer, 2 pooling 2d layer, flatten layer and fully connected layer.
-
-#### [Reinforcement Learning Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/ReinforcementLearning/DeepQ)
-
-A reinforcement learning example with cartpole game. It is using DeepQ algorithm.
-
-#### [Transfer Learning Examples](https://github.com/nnstreamer/nntrainer/tree/main/Applications/TransferLearning)
-
-Transfer learning examples with for image classification using the Cifar 10 dataset and for OCR. TFlite is used for feature extractor and modify last layer (fully connected layer) of network.
-
-#### [ResNet Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/Resnet)
-
-An example to train resnet18 network.
-
-#### [VGG Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/VGG)
-
-An example to train vgg16 network.
-
-#### [ProductRating Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/ProductRatings)
-
-This application contains a simple embedding-based model that predicts ratings given a user and a product.
-
-#### [SimpleShot Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/SimpleShot)
-
-An example to demonstrate few-shot learning : SimpleShot
-
-#### [Custom Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/Custom)
-
-An example to demonstrate how to create custom layers, optimizers or other supported objects.
-
-<!-- #### Tizen CAPI Example -->
-
-<!-- An example to demonstrate c api for Tizen. It is same transfer learing but written with tizen c api.~ -->
-<!-- Deleted instead moved to a [test](https://github.com/nnstreamer/nntrainer/blob/master/test/tizen_capi/unittest_tizen_capi.cpp) -->
-
-#### [KNN Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/KNN)
-
-A transfer learning example with for image classification using the Cifar 10 dataset. TFlite is used for feature extractor and compared with KNN.
-
-#### [Logistic Regression Example](https://github.com/nnstreamer/nntrainer/tree/main/Applications/LogisticRegression)
-
-A logistic regression example using NNTrainer.
-
 ## [Getting Started](https://github.com/nnstreamer/nntrainer/blob/main/docs/getting-started.md)
 
 Instructions for installing NNTrainer.
@@ -226,6 +174,10 @@ Instructions for installing NNTrainer.
 
 Instructions for preparing NNTrainer for execution
 
+### [Examples for NNTrainer](https://github.com/nnstreamer/nntrainer/tree/main/Applications)
+
+NNTrainer example for a variety of networks
+
 ## Open Source License
 
 The nntrainer is an open source project released under the terms of the Apache License version 2.0.