Update README.md

README.md

@@ -35,11 +35,11 @@ We implemented this assignment using mainly Keras and Sklearn.
 
 An example for the ‘Adults’ dataset:
 
-![](https://github.com/nevoit/Generative-Adversarial-Network-/blob/master/figures/Aspose.Words.36be2542-1776-4b1c-8010-360ae82480ae.001.png)
+![](https://huggingface.co/nevoit//Generative-Adversarial-Network-/blob/master/figures/Aspose.Words.36be2542-1776-4b1c-8010-360ae82480ae.001.png)
 
 An example for the ‘Bank-full’ dataset:
 
-![](https://github.com/nevoit/Generative-Adversarial-Network-/blob/master/figures/Aspose.Words.36be2542-1776-4b1c-8010-360ae82480ae.002.png)
+![](https://huggingface.co/nevoit/Generative-Adversarial-Network-/blob/master/figures/Aspose.Words.36be2542-1776-4b1c-8010-360ae82480ae.002.png)
 
 **Code Design:**
 
@@ -150,11 +150,11 @@ For adults dataset, the results of the model were:
 - MMDNF = Mean minimum euclidean distance for the not fooled samples was 0.422
 - Several samples that “fooled” the detector:
 
-![](https://github.com/nevoit/Generative-Adversarial-Network-/blob/master/figures/Aspose.Words.36be2542-1776-4b1c-8010-360ae82480ae.003.png)
+![](huggingface.co/nevoit/Generative-Adversarial-Network-/blob/master/figures/Aspose.Words.36be2542-1776-4b1c-8010-360ae82480ae.003.png)
 
 - Several samples that “not fooled” the detector:
 
-![](https://github.com/nevoit/Generative-Adversarial-Network-/blob/master/figures/Aspose.Words.36be2542-1776-4b1c-8010-360ae82480ae.004.png)
+![](huggingface.co/nevoit/Generative-Adversarial-Network-/blob/master/figures/Aspose.Words.36be2542-1776-4b1c-8010-360ae82480ae.004.png)
 
 - Plotting the PCA shows that the fooled samples are very similar to the real data and the not fooled samples are less similar.