diff --git a/machine_learning_examples/README.md b/machine_learning_examples/README.md
index 1c1be75..441bc17 100644
--- a/machine_learning_examples/README.md
+++ b/machine_learning_examples/README.md
@@ -1,6 +1,7 @@
 # Resources for Machine Learning & Deep Learning
 
-#### Examples in this repositoru
+
+## Pratical Examples in this repository
 
 * [Tensorflow examples](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/TensorFlow): examples in TF.
 * [Caffe examples](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Caffe): examples in Caffe.
@@ -8,19 +9,22 @@
 * [ML Notebooks](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Notebooks): jupyter notebooks with ML examples.
 * [Numpy examples](https://github.com/bt3gl/Resources-Machine_Learning/tree/master/Numpy): some snippets in Numpy.
 
+---------
 
 ## Learning Resources
 
 
-### Introductory Courses
+### Machine Learning Courses
 
-* [Stanford's Machine Learning Course](http://cs229.stanford.edu/)
-* [Google's Developer Machine Learning Course](https://developers.google.com/machine-learning)
+* [Stanford's Machine Learning Course](http://cs229.stanford.edu/).
+* [Google's Developer Machine Learning Course](https://developers.google.com/machine-learning).
+* [Deep Learning Lectures by Lex Fridman](https://www.youtube.com/watch?v=O5xeyoRL95U&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf).
 
 
-### Deep Learning
 
+### Deep Learning Courses
 
+* [Andrew Ng's deeplearning.ai](https://www.deeplearning.ai/deep-learning-specialization/)
 * [A Chart of Neural Networks](http://www.asimovinstitute.org/neural-network-zoo/).
 * [UCL Course on RL](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)
 * [Stanford's Convolutional Neural Networks for Visual Recognition](http://cs231n.stanford.edu/)
@@ -29,6 +33,29 @@
 * [DeepBench](https://github.com/baidu-research/DeepBench).
 * [Deep Fake source code](https://github.com/deepfakes/faceswap/).
 
+
+### Books
+* [Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville](http://www.deeplearningbook.org/).
+
+----
+
+### Tools
+
 #### Deep Learning Tools
 
 * [Tensorflow plaground](http://playground.tensorflow.org).
+* [Google's Tensorflow courses](https://www.tensorflow.org/).
+
+----
+
+## Articles
+
+* [MIT Deep Learning Basics](https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0).
+
+
+
+
+## Lectures
+
+
+