updated

README.md

@@ -17,7 +17,7 @@
 1) VAE - Mnist
     * [notebook](https://nbviewer.jupyter.org/github/veb-101/Generative_Models/blob/master/Variational_autoencoder_MNIST/Variational_autoencoder_pytorch.ipynb)
     * Example generation
-        ![VAE_mnist](Variational_autoencoder_MNIST\generation.gif)
+        ![VAE_mnist](./Variational_autoencoder_MNIST/generation.gif)
 
 
 2) VAE - Labelled Faces in the wild dataset
@@ -26,21 +26,19 @@
 
 3) DCGAN - MNIST
     * [notebook](https://nbviewer.jupyter.org/github/veb-101/Generative_Models/blob/master/DCGAN_Mnist/DCGAN_MNIST.ipynb)
-    * Example Generation    
-     ![dcgan_mnist](Variational_autoencoder_MNIST\generation.gif)
+    * Example Generation: View Notebook
 
 4) DCGAN - CELEBA dataset
  *  [notebook](https://nbviewer.jupyter.org/github/veb-101/Generative_Models/blob/master/DC_GAN_CelebA/DCGAN_CelebA_dataset.ipynb)
  *  Example Generation
-  ![dcgan_celeba](DC_GAN_CelebA\celebrity.gif)
+  ![dcgan_celeba](./DC_GAN_CelebA/celebrity.gif)
 
 5) DCGAN - Anime faces dataset
    * [notebook](https://nbviewer.jupyter.org/github/veb-101/Generative_Models/blob/master/DCGAN_Anime_faces/dcgan-anime-faces.ipynb)
    * Example Generation
-    ![dcgan_anime](DCGAN_Anime_faces\generation.gif)
+    ![dcgan_anime](./DCGAN_Anime_faces\generation.gif)
 
 
 * **PS:** GANs are harder to train than I imagined.
 * These examples generation can be better, you are very welcome to take my started code and add on it.
 
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