DDE-1/Generative-learning.md

@@ -30,7 +30,7 @@ _C. Ates_
 * [GANs with Python: Number generator](https://stackabuse.com/introduction-to-gans-with-python-and-tensorflow/)
 * [Image-to-Image Translation](https://phillipi.github.io/pix2pix/)
 
-**Music related**
+#### Music related
 
 * [Keras LSTM Music Generator](https://github.com/jordan-bird/Keras-LSTM-Music-Generator)
 * [Generating Music with GANs:An Overview and Case Studies” at ISMIR 2019](https://salu133445.github.io/ismir2019tutorial/)
@@ -39,7 +39,7 @@ _C. Ates_
 * [Using TensorFlow 2.0 to Compose Music](https://www.datacamp.com/community/tutorials/using-tensorflow-to-compose-music)
 
 
-_Colab notebooks:_
+#### Colab notebooks:
 
 * [Making music with Magenta](https://colab.research.google.com/notebooks/magenta/hello_magenta/hello_magenta.ipynb)
 * [style gan](https://github.com/jeffheaton/present/blob/master/youtube/style_gan.ipynb)
@@ -52,7 +52,7 @@ _Colab notebooks:_
 
 ## Research papers:
 
-**Methods and techniques**
+### Methods and techniques
 
 * [Wasserstein GAN](https://arxiv.org/abs/1701.07875)
 * [method to stabilize GAN](https://arxiv.org/pdf/1611.02163.pdf)
@@ -63,13 +63,13 @@ _Colab notebooks:_
 * [1D Generative Adversarial Network From Scratch](https://machinelearningmastery.com/how-to-develop-a-generative-adversarial-network-for-a-1-dimensional-function-from-scratch-in-keras/)
 * []()
 
-**Science applications**
+### Science applications
 
 * [Failure Prediction](https://arxiv.org/abs/1910.02034)
 * [Predict single-cell perturbation response across4
 cell types, studies and species](https://www.biorxiv.org/content/10.1101/478503v2.full.pdf)
 
-**Art applications**
+### Art applications
 
 * [Jukebox: A Generative Model for Music](https://cdn.openai.com/papers/jukebox.pdf)
 * [Generating Art using GANs](https://blog.jovian.ai/generating-art-with-gans-352ceef3d51f)