#175 : 문서 제목 요약

README.md

@@ -24,7 +24,7 @@
 | 😁 | NAME | HOBBY | CONTRIBUTIONs | 
 |------|----------|----------|-----------|
 |   😉   |  [김수정](https://github.com/SooDevv)    |  🕹 게임하기    |  [Fasion-MNIST](https://keraskorea.github.io/posts/2018-09-28-딥러닝의%20Hello%20World,%20Fashion-MNIST/)  <br/>  [안드로이드에 MNIST 심기]() | 
-| <img src = "https://avatars2.githubusercontent.com/u/22931103?s=460&v=4" width="100px;"/>| [송문혁](https://github.com/mike2ox)| :man_cook: 요리하기 <br/> 🕹 게임하기 <br/> :airplane: 여행가기|[케라스 LSTM 모델로 작곡하기](https://github.com/KerasKorea/KEKOxTutorial/blob/master/28_A_ten-minute_introduction_to_sequence-to-sequence_learning_in_Keras.md)  with [parkjh668](https://github.com/parkjh668) <br/>  [Neural Style Transfer : tf.keras와 eager execution를 이용한 딥러닝 미술 작품 만들기](https://github.com/KerasKorea/KEKOxTutorial/blob/master/15_Neural_Style_Transfer_Creating_Art_with_Deep_Learning_using_tf.keras_and_eager_execution.md) with [parkjh668](https://github.com/parkjh668) <br/> [Keras를 이용한 CNN Ensemble](https://github.com/KerasKorea/KEKOxTutorial/blob/master/16_Ensembling%20ConvNets%20using%20Keras.md) with [sulki.kim](http://github.com/5taku)  <br/> [Keras를 이용해 seq2seq를 10분안에 알려주기](https://github.com/KerasKorea/KEKOxTutorial/blob/master/28_A_ten-minute_introduction_to_sequence-to-sequence_learning_in_Keras.md) <br/> [Keras 모델을 REST API로 배포해보기](https://github.com/KerasKorea/KEKOxTutorial/blob/master/32_building_a_simple_keras_deep_learning_rest_api.md) <br/>[Keras/examples (3): Generative models examples](https://github.com/KerasKorea/KEKOxTutorial/tree/master/25_Keras_examples_3_Generative_models_examples) <br/> [Keras vs PyTorch 어떤 플랫폼을 선택해야 할까?](https://github.com/KerasKorea/KEKOxTutorial/blob/master/42_keras_or_pytorch_as_your_first_deep_learning_framework.md)|
+| <img src = "https://avatars2.githubusercontent.com/u/22931103?s=460&v=4" width="100px;"/>| [송문혁](https://github.com/mike2ox)| :man_cook: 요리하기 <br/> 🕹 게임하기 <br/> :airplane: 여행가기|[케라스로 작곡하기](https://github.com/KerasKorea/KEKOxTutorial/blob/master/28_A_ten-minute_introduction_to_sequence-to-sequence_learning_in_Keras.md)  with [parkjh668](https://github.com/parkjh668) <br/>  [Neural Style Transfer ](https://github.com/KerasKorea/KEKOxTutorial/blob/master/15_Neural_Style_Transfer_Creating_Art_with_Deep_Learning_using_tf.keras_and_eager_execution.md) with [parkjh668](https://github.com/parkjh668) <br/> [CNN Ensemble](https://github.com/KerasKorea/KEKOxTutorial/blob/master/16_Ensembling%20ConvNets%20using%20Keras.md) with [sulki.kim](http://github.com/5taku)  <br/> [seq2seq 배워보기](https://github.com/KerasKorea/KEKOxTutorial/blob/master/28_A_ten-minute_introduction_to_sequence-to-sequence_learning_in_Keras.md) <br/> [ 모델을 REST API로 배포하기](https://github.com/KerasKorea/KEKOxTutorial/blob/master/32_building_a_simple_keras_deep_learning_rest_api.md) <br/>[Keras/examples : Generative models](https://github.com/KerasKorea/KEKOxTutorial/tree/master/25_Keras_examples_3_Generative_models_examples) <br/> [Keras vs PyTorch 당신의 선택은?](https://github.com/KerasKorea/KEKOxTutorial/blob/master/42_keras_or_pytorch_as_your_first_deep_learning_framework.md)|
 
 
 > 오해하지 마세요, 외모 순서가 아니라 ㄱ-ㄴ-ㄷ순서입니다.