Merge pull request #125 from ahmedbesbes/master

adding my blog

README.md

@@ -181,8 +181,11 @@
 20. [Deep Learning for Search](https://www.manning.com/books/deep-learning-for-search)
 21. [Keras Tutorial: Content Based Image Retrieval Using a Convolutional Denoising Autoencoder](https://blog.sicara.com/keras-tutorial-content-based-image-retrieval-convolutional-denoising-autoencoder-dc91450cc511)
 22. [Pytorch Tutorial by Yunjey Choi](https://github.com/yunjey/pytorch-tutorial)
-23. [Hardware for AI: Understanding computer hardware & build your own computer](https://github.com/MelAbgrall/HardwareforAI)
-24. [Programming Community Curated Resources](https://hackr.io/tutorials/learn-artificial-intelligence-ai)
+23. [Understanding deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras](https://ahmedbesbes.com/understanding-deep-convolutional-neural-networks-with-a-practical-use-case-in-tensorflow-and-keras.html)
+24. [Overview and benchmark of traditional and deep learning models in text classification](https://ahmedbesbes.com/overview-and-benchmark-of-traditional-and-deep-learning-models-in-text-classification.html)
+25. [Hardware for AI: Understanding computer hardware & build your own computer](https://github.com/MelAbgrall/HardwareforAI)
+26. [Programming Community Curated Resources](https://hackr.io/tutorials/learn-artificial-intelligence-ai)
+
 
 
 
@@ -290,7 +293,7 @@
 100. [Merve Ayyüce Kızrak](http://www.ayyucekizrak.com/)
 
 
-### WebSites
+### Websites
 
 1.  [deeplearning.net](http://deeplearning.net/)
 2.  [deeplearning.stanford.edu](http://deeplearning.stanford.edu/)
@@ -323,6 +326,7 @@
 29.  [ML Compiled](https://ml-compiled.readthedocs.io/en/latest/)
 30.  [Programming Community Curated Resources](https://hackr.io/tutorials/learn-artificial-intelligence-ai)
 31.  [A Beginner's Guide To Understanding Convolutional Neural Networks](https://adeshpande3.github.io/A-Beginner%27s-Guide-To-Understanding-Convolutional-Neural-Networks/)
+32.  [ahmedbesbes.com)(http://ahmedbesbes.com)
 
 ### Datasets