Organized images

krishkumar · Jun 20, 2018 · 2fe4741 · 2fe4741
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diff --git a/README.md b/README.md
@@ -1,6 +1,6 @@
 ## Create ML Playgrounds
 
-Xcode playgrounds demonstrating the new CreateML framework.
+Xcode playgrounds for training, evaluating machine learning models.
 
 Written by [krishna](https://blackwaterparkstudios.com).
 
@@ -13,17 +13,17 @@ CreateML Playgrounds need OS X Mojave.
 
 - [image-classifier](image-classifier.playground)
 
-![dog-cat-classifier](dog-cat-classifier.png)
+![dog-cat-classifier](images/dog-cat-classifier.png)
 
-![fruit-classifier](fruit-classifier.png)
+![fruit-classifier](images/fruit-classifier.png)
 
-![chest-xray-pneumonia-classifier](chest-xray-pneumonia-classifier.png)
+![chest-xray-pneumonia-classifier](images/chest-xray-pneumonia-classifier.png)
 
-![flower-classifier](flower-classifier.png)
+![flower-classifier](images/flower-classifier.png)
 
 - [Movie Review Sentiment Classifier](movie-review-sentiment-classifier.playground)
 
-![movie-review-sentiment-classifier](movie-review-sentiment-classifier.png)
+![movie-review-sentiment-classifier](images/movie-review-sentiment-classifier.png)
 
 ### Trained Models
 
@@ -42,12 +42,10 @@ Training Machine - Mac Pro 6-core with 64 GB RAM, dual AMD D700s.
 - [Chest X-Ray Images (Pneumonia) 5,863 images (Source: Kaggle)][aaef79c3]
 - [A dataset with 65 fruits and 43329 images (Source: Kaggle)][dab38c66]
 - [Flowers Dataset with 4242 images (Source: Kaggle)][d2561765]
-- [movie-review-data training](train-movie-reviews.zip)
-- [movie-review-data test](test-movie-reviews.zip)
-- [dog-cat-data](dog-cat-data.zip)
+- [movie-review-data training](datasets/train-movie-reviews.zip)
+- [movie-review-data test](datasets/test-movie-reviews.zip)
+- [dog-cat-data](datasets/dog-cat-data.zip)
 
-  [aaef79c3]: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia "Chest X-Ray Images (Pneumonia) 5,863 images (Source: Kaggle)"
-  [d2561765]: https://www.kaggle.com/alxmamaev/flowers-recognition "Flowers Dataset from Kaggle (4242 images)"
 
 ### References
 
@@ -58,3 +56,5 @@ Training Machine - Mac Pro 6-core with 64 GB RAM, dual AMD D700s.
 
   [66033728]: https://developer.apple.com/videos/play/wwdc2018/703/ "WWDC 2018 Session 703 - Introducing Create ML"
   [dab38c66]: https://www.kaggle.com/moltean/fruits "A dataset with 65 fruits and 43329 images (Source: Kaggle)"
+  [aaef79c3]: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia "Chest X-Ray Images (Pneumonia) 5,863 images (Source: Kaggle)"
+  [d2561765]: https://www.kaggle.com/alxmamaev/flowers-recognition "Flowers Dataset from Kaggle (4242 images)"
diff --git a/dog-cat-data.zip → datasets/dog-cat-data.zip b/dog-cat-data.zip → datasets/dog-cat-data.zip
diff --git a/test-movie-reviews.zip → datasets/test-movie-reviews.zip b/test-movie-reviews.zip → datasets/test-movie-reviews.zip
diff --git a/train-movie-reviews.zip → datasets/train-movie-reviews.zip b/train-movie-reviews.zip → datasets/train-movie-reviews.zip
diff --git a/chest-xray-pneumonia-classifier.png → images/chest-xray-pneumonia-classifier.png b/chest-xray-pneumonia-classifier.png → images/chest-xray-pneumonia-classifier.png
diff --git a/dog-cat-classifier.png → images/dog-cat-classifier.png b/dog-cat-classifier.png → images/dog-cat-classifier.png
diff --git a/flower-classifier.png → images/flower-classifier.png b/flower-classifier.png → images/flower-classifier.png
diff --git a/fruit-classifier.png → images/fruit-classifier.png b/fruit-classifier.png → images/fruit-classifier.png
diff --git a/movie-review-sentiment-classifier.png → images/movie-review-sentiment-classifier.png b/movie-review-sentiment-classifier.png → images/movie-review-sentiment-classifier.png