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jijoong.moon [Wed, 4 Dec 2019 11:23:25 +0000 (20:23 +0900)]
add doxygen doc for Logistic regression
add doxygen doc for Logistic regression
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jijoong.moon [Wed, 4 Dec 2019 10:59:36 +0000 (19:59 +0900)]
add doxygen document for Training
add doxygen documents for Training
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jijoong.moon [Wed, 4 Dec 2019 10:16:53 +0000 (19:16 +0900)]
Add Doxygen Documentation for Environment
Add Doxygen Doc. for Environment
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jijoong.moon [Wed, 4 Dec 2019 08:15:47 +0000 (17:15 +0900)]
Add doxygen Documentation for NeuralNet
Add doxygen Documentation format of NeuralNet Directory
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jijoong.moon [Tue, 26 Nov 2019 01:58:25 +0000 (10:58 +0900)]
fix to use epsilon from config file
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jijoong.moon [Tue, 26 Nov 2019 01:20:16 +0000 (10:20 +0900)]
Add Logistic Regression
Add Logistic Regression with example
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jijoong.moon [Mon, 25 Nov 2019 07:43:06 +0000 (16:43 +0900)]
add network description for generality
- include iniparser
- add parse configuratio ini file to describe network
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jijoong.moon [Fri, 22 Nov 2019 01:57:16 +0000 (10:57 +0900)]
Add bias correction of adam optimizer
add bias correction according to the epoch.
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jijoong.moon [Thu, 21 Nov 2019 10:23:23 +0000 (19:23 +0900)]
Add CMakeLists.txt for KNN & support ubuntu
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jijoong.moon [Thu, 21 Nov 2019 09:54:24 +0000 (18:54 +0900)]
Add README for DeepQ
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jijoong.moon [Thu, 21 Nov 2019 09:26:26 +0000 (18:26 +0900)]
Add Layers::Layer classes
Add Layers
. Layers::Layer
. Layers::InputLayer : public Layer
. Layers::FullyConnectedLayer : public Layer
. Layers::OutputLayer : public Layer
with forwarding, backwarding support
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jijoong.moon [Wed, 20 Nov 2019 04:49:53 +0000 (13:49 +0900)]
Modify code for clang format
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jijoong.moon [Tue, 19 Nov 2019 22:48:27 +0000 (07:48 +0900)]
Restructure neural network
Make NeuralNet directory for common usages.
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jijoong.moon [Tue, 19 Nov 2019 04:32:34 +0000 (13:32 +0900)]
Add Android.mk for android build
- Add Android.mk
- Remove Boost Dependency
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jijoong.moon [Tue, 19 Nov 2019 00:11:20 +0000 (09:11 +0900)]
Add Custom Environment Cartpole
Depending the USING_CUSTOM_ENV definition, can choose custom
env (Env::CartPole) or Gym::Environment.
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jijoong.moon [Tue, 19 Nov 2019 00:05:00 +0000 (09:05 +0900)]
Add Custom Environment : CartPole
Implement Custom CartPole Environment with test example
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jijoong.moon [Mon, 18 Nov 2019 06:31:12 +0000 (15:31 +0900)]
add reference model.bin
Add Trained model for CartPole-v0 ( Terminate 200 Iteration Max )
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jijoong.moon [Mon, 18 Nov 2019 06:29:41 +0000 (15:29 +0900)]
add ADAM (Adaptive Momemt Estimation) to accelerate convering
- Add ADAM optimizer
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jijoong.moon [Fri, 15 Nov 2019 07:58:37 +0000 (16:58 +0900)]
Add Another Fullyconnected Layer
Add Fully Connnected Layer : ( Two FC )
Resolves:
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jijoong.moon [Fri, 15 Nov 2019 07:55:20 +0000 (16:55 +0900)]
Add tanh & minibach mode
- Add tanh activation
- Add minbatch mode
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jijoong.moon [Tue, 12 Nov 2019 04:42:55 +0000 (13:42 +0900)]
Implement DeepQ Learning without minibatch
Implement DeepQ Learning for CartPole-v0
Currently It is not stable.
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jijoong.moon [Thu, 7 Nov 2019 00:29:52 +0000 (09:29 +0900)]
Add initialize DeepQ with gym (CartPole-v0)
Add DeepQ for CartPole-v0
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jijoong.moon [Wed, 6 Nov 2019 23:03:16 +0000 (08:03 +0900)]
Add NeuralNetwork Class
Add Network namespace & NeuralNetwork Class.
Add copy Matrix & NeuralNetwork
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jijoong.moon [Thu, 17 Oct 2019 06:44:09 +0000 (15:44 +0900)]
add readme
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jijoong.moon [Thu, 17 Oct 2019 06:37:07 +0000 (15:37 +0900)]
Add retraining example
Add retraining example. ( Forward and Backward Propagation for fully
connected layer )
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jijoong.moon [Tue, 15 Oct 2019 01:53:50 +0000 (10:53 +0900)]
Add README.md
Add some results in README.md
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jijoong.moon [Tue, 15 Oct 2019 01:42:24 +0000 (10:42 +0900)]
Toy Example for the Transfer learning
Simple example of transfer learning like apple's Sticker example.
Mobilenet SSD V2 tensorflow lite model is used for the feature
extractor and KNN is used for the classification.
It is tesed on the android (Galaxy S8).
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문지중/On-Device Lab(SR)/Principal Engineer/삼성전자 [Tue, 15 Oct 2019 01:09:34 +0000 (10:09 +0900)]
Initial commit
projects / platform / core / ml / nntrainer.git / log