Update README.md

README.md

@@ -2,7 +2,7 @@
 <img align="right" src="docs/cai.png" height="192">
 K-CAI NEURAL API is a Keras based neural network API that will allow you to prototype faster!
 
-This project is a subproject from a bigger and older project called [CAI](https://sourceforge.net/projects/cai/) and is sister to the pascal based [CAI NEURAL API](https://github.com/joaopauloschuler/neural-api/blob/master/README.md).
+This project is a subproject from a bigger and older project called [CAI](https://sourceforge.net/projects/cai/) and is sister to the pascal based [CAI NEURAL API](https://github.com/joaopauloschuler/neural-api/).
 
 ## Prerequisites
 You'll need python and pip.
@@ -37,5 +37,5 @@ The documentation is under construction. Currently, it's mainly composed by sour
 
 ### Examples
 Some recommended introductory source code examples are:
-* [DenseNet BC L40 with CIFAR-10](https://github.com/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/cai_densenet_bc_l40_with_cifar_10.ipynb)  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/cai_densenet_bc_l40_with_cifar_10.ipynb) . This example shows how to create a densenet model with `cai.densenet.simple_densenet` and easily train it with `cai.datasets.train_model_on_cifar10`.
-* [DenseNet BC L40 with CIFAR-100](https://github.com/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/cai_densenet_bc_l40_with_cifar_100.ipynb)  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/cai_densenet_bc_l40_with_cifar_100.ipynb) . This example shows how to create a densenet model with `cai.densenet.simple_densenet` and easily train it with `cai.datasets.train_model_on_dataset`.
+* [DenseNet BC L40 with CIFAR-10](https://github.com/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/cai_densenet_bc_l40_with_cifar_10.ipynb): This example shows how to create a densenet model with `cai.densenet.simple_densenet` and easily train it with `cai.datasets.train_model_on_cifar10`. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/cai_densenet_bc_l40_with_cifar_10.ipynb)
+* [DenseNet BC L40 with CIFAR-100](https://github.com/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/cai_densenet_bc_l40_with_cifar_100.ipynb): this example shows how to create a densenet model with `cai.densenet.simple_densenet` and easily train it with `cai.datasets.train_model_on_dataset`. [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/cai_densenet_bc_l40_with_cifar_100.ipynb)