update 6/17

keon · Jun 17, 2019 · 4ed057f · 4ed057f
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diff --git a/.gitignore b/.gitignore
@@ -21,6 +21,7 @@ parts/
 sdist/
 var/
 wheels/
+unpublished/
 *.egg-info/
 .installed.cfg
 *.egg

diff --git a/01-Deep-Learning-And-PyTorch/README.md → 01-딥러닝과 파이토치/README.md b/01-Deep-Learning-And-PyTorch/README.md → 01-딥러닝과 파이토치/README.md
diff --git a/02-Getting-Started-With-PyTorch/README.md → 02-파이토치 시작하기/README.md b/02-Getting-Started-With-PyTorch/README.md → 02-파이토치 시작하기/README.md
diff --git a/...tarted-With-PyTorch/check_installation.py → 02-파이토치 시작하기/check_installation.py b/...tarted-With-PyTorch/check_installation.py → 02-파이토치 시작하기/check_installation.py
diff --git a/02-Getting-Started-With-PyTorch/mat_mul.py → 02-파이토치 시작하기/mat_mul.py b/02-Getting-Started-With-PyTorch/mat_mul.py → 02-파이토치 시작하기/mat_mul.py
diff --git a/...ting-Started-With-PyTorch/tensor_basic.py → 02-파이토치 시작하기/tensor_basic.py b/...ting-Started-With-PyTorch/tensor_basic.py → 02-파이토치 시작하기/tensor_basic.py
diff --git a/...tworks-In-PyTorch/00-image-recovery.ipynb → 03-파이토치로 구현하는 인공 신경망/00-image-recovery.ipynb b/...tworks-In-PyTorch/00-image-recovery.ipynb → 03-파이토치로 구현하는 인공 신경망/00-image-recovery.ipynb
diff --git a/...-Networks-In-PyTorch/00-image-recovery.py → 03-파이토치로 구현하는 인공 신경망/00-image-recovery.py b/...-Networks-In-PyTorch/00-image-recovery.py → 03-파이토치로 구현하는 인공 신경망/00-image-recovery.py
diff --git a/...In-PyTorch/01-basic-feed-forward_nn.ipynb → ...현하는 인공 신경망/01-basic-feed-forward_nn.ipynb b/...In-PyTorch/01-basic-feed-forward_nn.ipynb → ...현하는 인공 신경망/01-basic-feed-forward_nn.ipynb
diff --git a/...ks-In-PyTorch/01-basic-feed-forward_nn.py → ...로 구현하는 인공 신경망/01-basic-feed-forward_nn.py b/...ks-In-PyTorch/01-basic-feed-forward_nn.py → ...로 구현하는 인공 신경망/01-basic-feed-forward_nn.py
diff --git a/...ding-Neural-Networks-In-PyTorch/README.md → 03-파이토치로 구현하는 인공 신경망/README.md b/...ding-Neural-Networks-In-PyTorch/README.md → 03-파이토치로 구현하는 인공 신경망/README.md
diff --git a/...ural-Networks-In-PyTorch/broken_image_t.p → 03-파이토치로 구현하는 인공 신경망/broken_image_t.p b/...ural-Networks-In-PyTorch/broken_image_t.p → 03-파이토치로 구현하는 인공 신경망/broken_image_t.p
diff --git a/...eural-Networks-In-PyTorch/images/ReLU.png → 03-파이토치로 구현하는 인공 신경망/images/ReLU.png b/...eural-Networks-In-PyTorch/images/ReLU.png → 03-파이토치로 구현하는 인공 신경망/images/ReLU.png
diff --git a/...s-In-PyTorch/images/data_distribution.png → ... 구현하는 인공 신경망/images/data_distribution.png b/...s-In-PyTorch/images/data_distribution.png → ... 구현하는 인공 신경망/images/data_distribution.png
diff --git a/...Neural-Networks-In-PyTorch/images/img.png → 03-파이토치로 구현하는 인공 신경망/images/img.png b/...Neural-Networks-In-PyTorch/images/img.png → 03-파이토치로 구현하는 인공 신경망/images/img.png
diff --git a/...-Neural-Networks-In-PyTorch/images/mm.png → 03-파이토치로 구현하는 인공 신경망/images/mm.png b/...-Neural-Networks-In-PyTorch/images/mm.png → 03-파이토치로 구현하는 인공 신경망/images/mm.png
diff --git a/...al-Networks-In-PyTorch/images/sigmoid.png → 03-파이토치로 구현하는 인공 신경망/images/sigmoid.png b/...al-Networks-In-PyTorch/images/sigmoid.png → 03-파이토치로 구현하는 인공 신경망/images/sigmoid.png
diff --git a/...oding-Neural-Networks-In-PyTorch/model.pt → 03-파이토치로 구현하는 인공 신경망/model.pt b/...oding-Neural-Networks-In-PyTorch/model.pt → 03-파이토치로 구현하는 인공 신경망/model.pt
diff --git a/...etwork-For-Fashion/01-fashion-mnist.ipynb → 04-딥러닝으로 패션 아이템 구분하기/01-fashion-mnist.ipynb b/...etwork-For-Fashion/01-fashion-mnist.ipynb → 04-딥러닝으로 패션 아이템 구분하기/01-fashion-mnist.ipynb
diff --git a/...l-Network-For-Fashion/01-fashion-mnist.py → 04-딥러닝으로 패션 아이템 구분하기/01-fashion-mnist.py b/...l-Network-For-Fashion/01-fashion-mnist.py → 04-딥러닝으로 패션 아이템 구분하기/01-fashion-mnist.py
diff --git a/...twork-For-Fashion/02-neural-network.ipynb → 04-딥러닝으로 패션 아이템 구분하기/02-neural-network.ipynb b/...twork-For-Fashion/02-neural-network.ipynb → 04-딥러닝으로 패션 아이템 구분하기/02-neural-network.ipynb
diff --git a/...-Network-For-Fashion/02-neural-network.py → 04-딥러닝으로 패션 아이템 구분하기/02-neural-network.py b/...-Network-For-Fashion/02-neural-network.py → 04-딥러닝으로 패션 아이템 구분하기/02-neural-network.py
diff --git a/...n/03-overfitting-and-regularization.ipynb → ...기/03-overfitting-and-regularization.ipynb b/...n/03-overfitting-and-regularization.ipynb → ...기/03-overfitting-and-regularization.ipynb
diff --git a/...hion/03-overfitting-and-regularization.py → ...구분하기/03-overfitting-and-regularization.py b/...hion/03-overfitting-and-regularization.py → ...구분하기/03-overfitting-and-regularization.py
diff --git a/04-Neural-Network-For-Fashion/README.md → 04-딥러닝으로 패션 아이템 구분하기/README.md b/04-Neural-Network-For-Fashion/README.md → 04-딥러닝으로 패션 아이템 구분하기/README.md
diff --git a/...ork-For-Fashion/assets/horizontalflip.png → ...닝으로 패션 아이템 구분하기/assets/horizontalflip.png b/...ork-For-Fashion/assets/horizontalflip.png → ...닝으로 패션 아이템 구분하기/assets/horizontalflip.png
diff --git a/...l-Network-For-Fashion/assets/original.png → 04-딥러닝으로 패션 아이템 구분하기/assets/original.png b/...l-Network-For-Fashion/assets/original.png → 04-딥러닝으로 패션 아이템 구분하기/assets/original.png
diff --git a/05-CNN-For-Image-Classification/01-cnn.ipynb → 05-이미지 처리능력이 탁월한 CNN/01-cnn.ipynb b/05-CNN-For-Image-Classification/01-cnn.ipynb → 05-이미지 처리능력이 탁월한 CNN/01-cnn.ipynb
diff --git a/05-CNN-For-Image-Classification/01-cnn.py → 05-이미지 처리능력이 탁월한 CNN/01-cnn.py b/05-CNN-For-Image-Classification/01-cnn.py → 05-이미지 처리능력이 탁월한 CNN/01-cnn.py
diff --git a/...r-Image-Classification/02-cifar-cnn.ipynb → 05-이미지 처리능력이 탁월한 CNN/02-cifar-cnn.ipynb b/...r-Image-Classification/02-cifar-cnn.ipynb → 05-이미지 처리능력이 탁월한 CNN/02-cifar-cnn.ipynb
diff --git a/...-For-Image-Classification/02-cifar-cnn.py → 05-이미지 처리능력이 탁월한 CNN/02-cifar-cnn.py b/...-For-Image-Classification/02-cifar-cnn.py → 05-이미지 처리능력이 탁월한 CNN/02-cifar-cnn.py
diff --git a/05-CNN-For-Image-Classification/README.md → 05-이미지 처리능력이 탁월한 CNN/README.md b/05-CNN-For-Image-Classification/README.md → 05-이미지 처리능력이 탁월한 CNN/README.md
diff --git a/06-Autoencoder/01-basic-autoencoder.ipynb b/06-Autoencoder/01-basic-autoencoder.ipynb
diff --git a/06-사람의 지도 없이 학습하는 오토인코더/01-basic-autoencoder.ipynb b/06-사람의 지도 없이 학습하는 오토인코더/01-basic-autoencoder.ipynb
diff --git a/06-Autoencoder/01-basic-autoencoder.py → ... 지도 없이 학습하는 오토인코더/01-basic-autoencoder.py b/06-Autoencoder/01-basic-autoencoder.py → ... 지도 없이 학습하는 오토인코더/01-basic-autoencoder.py
diff --git a/...utoencoder/02-denoising-autoencoder.ipynb → ...학습하는 오토인코더/02-denoising-autoencoder.ipynb b/...utoencoder/02-denoising-autoencoder.ipynb → ...학습하는 오토인코더/02-denoising-autoencoder.ipynb
@@ -45,7 +45,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.2"
+   "version": "3.7.0"
   }
  },
  "nbformat": 4,

diff --git a/06-Autoencoder/02-denoising-autoencoder.py → ...없이 학습하는 오토인코더/02-denoising-autoencoder.py b/06-Autoencoder/02-denoising-autoencoder.py → ...없이 학습하는 오토인코더/02-denoising-autoencoder.py
diff --git a/06-Autoencoder/README.md → 06-사람의 지도 없이 학습하는 오토인코더/README.md b/06-Autoencoder/README.md → 06-사람의 지도 없이 학습하는 오토인코더/README.md
diff --git a/06-Autoencoder/assets/autoencoder.png → ...의 지도 없이 학습하는 오토인코더/assets/autoencoder.png b/06-Autoencoder/assets/autoencoder.png → ...의 지도 없이 학습하는 오토인코더/assets/autoencoder.png
diff --git a/07-RNN-For-Sequential-Data/01-text-classification.ipynb b/07-RNN-For-Sequential-Data/01-text-classification.ipynb
diff --git a/07-RNN-For-Sequential-Data/02-sequence-to-sequence.ipynb b/07-RNN-For-Sequential-Data/02-sequence-to-sequence.ipynb
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@@ Expand Up / @@ -21,6 +21,7 @@ parts/ @@
     sdist/
     var/
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+    unpublished/
     *.egg-info/
     .installed.cfg
     *.egg
@@ Expand Down @@