summary |
shortlog | log |
commit |
commitdiff |
tree
first ⋅ prev ⋅ next
jijoong.moon [Thu, 21 Nov 2019 09:54:24 +0000 (18:54 +0900)]
Add README for DeepQ
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
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
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
jijoong.moon [Wed, 20 Nov 2019 04:49:53 +0000 (13:49 +0900)]
Modify code for clang format
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
jijoong.moon [Tue, 19 Nov 2019 22:48:27 +0000 (07:48 +0900)]
Restructure neural network
Make NeuralNet directory for common usages.
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
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
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
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.
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
jijoong.moon [Tue, 19 Nov 2019 00:05:00 +0000 (09:05 +0900)]
Add Custom Environment : CartPole
Implement Custom CartPole Environment with test example
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
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 )
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
jijoong.moon [Mon, 18 Nov 2019 06:29:41 +0000 (15:29 +0900)]
add ADAM (Adaptive Momemt Estimation) to accelerate convering
- Add ADAM optimizer
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
jijoong.moon [Fri, 15 Nov 2019 07:58:37 +0000 (16:58 +0900)]
Add Another Fullyconnected Layer
Add Fully Connnected Layer : ( Two FC )
Resolves:
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
jijoong.moon [Fri, 15 Nov 2019 07:55:20 +0000 (16:55 +0900)]
Add tanh & minibach mode
- Add tanh activation
- Add minbatch mode
Resolves:
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
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.
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
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
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
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
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
jijoong.moon [Thu, 17 Oct 2019 06:44:09 +0000 (15:44 +0900)]
add readme
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
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 )
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
jijoong.moon [Tue, 15 Oct 2019 01:53:50 +0000 (10:53 +0900)]
Add README.md
Add some results in README.md
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
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).
**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped
문지중/On-Device Lab(SR)/Principal Engineer/삼성전자 [Tue, 15 Oct 2019 01:09:34 +0000 (10:09 +0900)]
Initial commit