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2018-12-11
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 Ұ

̷к ANN, ڴ, CNN, RNN, GAN, FCN, DQN, ̹ ĸŴ ֽ

ټ÷η ס ̷ Ǵ ̷е ڼϰ Ұϰ, 𵨵(ANN, ڴ, CNN, RNN) Ȯ ظ ټ÷ ڵ Բ Ѵ. , 𵨵 پ ϰ ϴ ҰѴ.

å ʹݿ , Ȯ , ȭ ̷а ̷ ϰ, ˰ ⺻ ANN, ڴ, CNN, RNN ٷ. ߹ݿ տ ANN, CNN, RNN ̹ ĸŴ, Semantic Image Segmentation  ϴ Ѵ. å Ĺݿ ֱٿ α ִ 𵨰 ȭ н 캸, Ʃװ н ̿ؼ ذϴ . 1 å ̷к ټ÷ ̺귯 ̿ ľ ִ.

ڼҰ

б ΰ ǻ ǿ ޾Ҵ. ټ÷ο ΰ, ӽŷ, ϴ ֶ󸮽 ΰ ǡ(solarisailab.com)̶ α׸  ̴.

1. ΰ, ӽŷ, Ұ
1.1 ˰
1.2 н
1.3 н
1.4 ȭ н
1.5

2. ټ÷ Ұ
2.1 ټ÷ ġ å ϴ ҽ ڵ ٿε
2.1.1 ټ÷ Ұ
2.1.2 ټ÷ ġ
2.1.3 å ϴ ҽ ڵ ٿε
2.2 , ټ÷ о
2.2.1 ǻ
2.2.2 ڿ ó
2.2.3 ν
2.2.4
2.2.5
2.3 ټ÷ ߻ȭ ̺귯
2.3.1 ɶ
2.3.2 TF-Slim
2.3.3 Sonnet
2.4

3. ټ÷ ʿ ټ
3.1 ټ÷ - ׷ ׷
3.2 ÷̽Ȧ
3.3 ȸ ϰ ˰
3.3.1 ӽŷ ⺻ μ - , ս Լ , ȭ
3.3.2 ȸ ˰
3.4 ټ带 ̿ ׷ ðȭ
3.5

4. ӽŷ ̷е
4.1 Batch Gradient Descent, Mini-Batch Gradient Descent, Stochastic Gradient Descent
4.2 Training Data, Validation Data, Test Data
4.3 Ʈƽ ȸ
4.3.1 Ʈƽ ȸ
4.3.2 ũν Ʈ ս Լ
4.3.3 MNIST ͼ
4.3.4 One-hot Encoding
4.4 Ʈƽ ȸ͸ ̿ MNIST з
4.4.1 mnist_classification_using_softmax_regression.py
4.4.2 tf_nn_sparse_softmax_cross_entropy_with_logits_example.py
4.5

5. ΰŰ(ANN)
5.1 ΰŰ
5.2 ۼƮ
5.3 ۼƮ MLP
5.4 ˰
5.5 ANN ̿ MNIST з
5.6

6. ڴ(AutoEncoder)
6.1 ڴ
6.2 ڴ ̿ MNIST 籸
6.3 ڴ Ʈƽ з⸦ ̿ MNIST з
6.3.1 Ʃװ н
6.3.2 ڴ Ʈƽ з⸦ ̿ MNIST з
6.4

7. Ű(CNN)
7.1 Ű - , Ǯ
7.2 MNIST з CNN з
7.3 CNN ̿ CIFAR-10 ̹ з
7.3.1 CIFAR-10 ͼ
7.3.2 Ӿƿ
7.3.3 CNN ̿ CIFAR-10 ̹ з
7.4 ǥ CNN 𵨵 - AlexNet, VGGNet, GoogLeNet, ResNet
7.4.1 AlexNet
7.4.2 VGGNet
7.4.3 GoogLeNet(Inception v1)
7.4.4 ResNet
7.5 tf.train.Saver API ̿ؼ 𵨰 Ķ͸ ϰ ҷ
7.6

8. ȯŰ(RNN)
8.1 ȯŰ
8.2 LSTM(/ܱ Ʈũ) 絵
8.3 GRU
8.4 Ӻ
8.4.1 Ӻǰ
8.4.2 tf.nn.embedding_lookup ̿ Ӻ
8.5 絵 絵 ڸ
8.6 Char-RNN
8.6.1 Char-RNN
8.6.2 ټ÷θ ̿ Char-RNN
8.6.2.1 train_and_sampling.py
8.6.2.2 utils.py
8.7

9. ̹ ĸŴ(Image Captioning)
9.1 ̹ ĸŴ Ұ
9.2 ̹ ĸŴ ͼ - MS COCO
9.3 ̹ ĸŴ - im2txt
9.4 im2txt ڵ ڵ
9.4.1 train.py
9.4.2 show_and_tell_model.py
9.4.3 run_inference.py
9.5

10. Semantic Image Segmentation
10.1 Semantic Image Segmentation
10.2 FCN
10.3 Semantic Image Segmentation ͼ - MIT Scene Parsing
10.4 FCN ̿ Semantic Image Segmentation - FCN.tensorflow
10.4.1 FCN.py
10.4.2 TensorflowUtils.py
10.4.3 read_MITSceneParsingData.py
10.4.4 BatchDatsetReader.py
10.5

11. - GAN
11.1
11.2 GAN
11.3 GAN ̿ MNIST
11.4

12. ȭ н(Reinforcement Learning)
12.1 ȭ н ⺻ MDP
12.1.1 ġ Լ
12.1.2 ൿ ġ Լ
12.2 Q-Learning
12.2.1 Q-Table Q-Networks
12.2.2 -Greedy
12.3 DQN
12.4 DQN ̿ Ʈ - CatchGame
12.4.1 train_catch_game.py
12.4.2 play_catch_game.ipynb
12.5

13. Ʃװ н ̿ ذ
13.1 Ʃ н
13.2 Inception v3 Retraining ̿ з
13.2.1 Inception v3
13.2.2 inceptionv3_retrain.py - ͼ Ʃ
13.2.3 inceptionv3_retrain.py
13.2.4 inceptionv3_inference.py
13.3 н ̿ ü
13.3.1 ü
13.3.2 н Faster R-CNN 𵨷 ü
13.3.3 faster_rcnn_inference.py
13.4 TensorFlow Hub
13.5
13.6 ͵

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