Update README.md

Author: StivenMetaj

README.md

@@ -1,19 +1,14 @@
 # Artificial Neural Networks and Deep Learning
 ## Kaggle Competitions about classification, segmentation and visual query answering
-
 In this repository you can find the jupyter notebooks used to take part at the competitions created for the Artifical Neural Networks and Deep Learning exam at Politecnico di Milano.
-
 ***
-
-## Competition 1 - Image classification [[kaggle link](https://www.kaggle.com/c/ann-and-dl-image-classification))
+## Competition 1 - Image classification [[kaggle link](https://www.kaggle.com/c/ann-and-dl-image-classification)]
 Image classification of 20 different classes (e.g. owls, wine-bottles, airplanes, calculators...).
 Evaluation trhough MultiClass Accuracy.
 1554 images in total of different dimensions for training. 500 for testing.
-
-## Competition 2 - Semantic Segmentation [[kaggle link](https://www.kaggle.com/c/ann-and-dl-image-segmentation))
+## Competition 2 - Semantic Segmentation [[kaggle link](https://www.kaggle.com/c/ann-and-dl-image-segmentation)]
 Semantic Binary Segmentation of satellite building images.
 Evalutation through Intersection over Union (IoU).
 7647 256x256 images for training. 1234 for testing.
-
-## Competition 3 - Visual Query Answering [[kaggle link](https://www.kaggle.com/c/ann-and-dl-vqa))
+## Competition 3 - Visual Query Answering [[kaggle link](https://www.kaggle.com/c/ann-and-dl-vqa)]
 WIP WIP WIP