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Readme.md

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 # DeepLearning.ai Courses Notes
 
-This repository contains my personal notes and summaries on [DeepLearning.ai](https://deeplearning.ai) course. I've enjoyed every little bit of the course hope you enjoy my notes too.
+This repository contains my personal notes and summaries on [DeepLearning.ai](https://deeplearning.ai) specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
 
 [DeepLearning.ai](https://deeplearning.ai)  contains five courses which can be taken on [Coursera](https://www.coursera.org/specializations/deep-learning). The five courses titles are:
 
@@ -14,7 +14,7 @@ This is by far the best course series on deep learning that I've taken. Enjoy!
 
 
 
-**About This Specialization (From the official Deep Learning Specialization page):**
+## About This Specialization (From the official Deep Learning Specialization page)
 
 > If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.
 >
@@ -25,3 +25,54 @@ This is by far the best course series on deep learning that I've taken. Enjoy!
 > AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.
 >
 > We will help you master Deep Learning, understand how to apply it, and build a career in AI.
+
+
+
+## Specialization Certificate
+
+At last I've successfully completed the specialization and earned my [certificate](https://coursera.org/verify/specialization/DTTJC9Y5B8U6)!
+
+![](Certificate.png)
+
+
+
+## Reviews
+
+As [DeepLearning.ai](https://deeplearning.ai) is one of the most popular courses in the field of AI/ML/DL, there are some good reviews regarding some or whole of the specialization courses.
+
+The list of reviews includes:
+
+- [Ryan Shrott](https://towardsdatascience.com/@ryanshrott?source=post_header_lockup) Reviews:
+  - [Deep Learning Specialization by Andrew Ng — 21 Lessons Learned](https://towardsdatascience.com/deep-learning-specialization-by-andrew-ng-21-lessons-learned-15ffaaef627c)
+  - [Computer Vision by Andrew Ng — 11 Lessons Learned](https://towardsdatascience.com/computer-vision-by-andrew-ng-11-lessons-learned-7d05c18a6999)
+- [Arthur Chan](https://www.linkedin.com/in/arthchan2003/) Reviews:
+  - [Review of Ng's deeplearning.ai Course 1: Neural Networks and Deep Learning](https://www.linkedin.com/pulse/review-ngs-deeplearningai-course-1-neural-networks-deep-arthur-chan/?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_post_details%3BVLk6TK8sThiFt5gZF%2B25Ug%3D%3D)
+  - [Review of Ng's deeplearning.ai Course 2: Improving Deep Neural Networks](https://www.linkedin.com/pulse/review-ngs-deeplearningai-course-2-improving-deep-neural-arthur-chan/?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_post_details%3BVLk6TK8sThiFt5gZF%2B25Ug%3D%3D)
+  - [Review of Ng's deeplearning.ai Course 3: Structuring Machine Learning Projects](https://www.linkedin.com/pulse/review-ngs-deeplearningai-course-3-structuring-machine-arthur-chan/?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_post_details%3BVLk6TK8sThiFt5gZF%2B25Ug%3D%3D)
+  - [Review of Ng's deeplearning.ai Course 4: Convolutional Neural Networks](https://www.linkedin.com/pulse/review-ngs-deeplearningai-course-4-convolutional-neural-arthur-chan/?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_post_details%3BVLk6TK8sThiFt5gZF%2B25Ug%3D%3D)
+- [Thoughts after taking the Deeplearning.ai courses](https://towardsdatascience.com/thoughts-after-taking-the-deeplearning-ai-courses-8568f132153)
+- [Learning Deep Learning — fast.ai vs. deeplearning.ai](https://medium.com/@markryan_69718/learning-deep-learning-fast-ai-vs-deeplearning-ai-34f9c42cf701)
+
+
+
+A good Facebook group that discusses the courses are here: https://www.facebook.com/groups/DeepLearningAISpecialization/.
+
+Group description:
+
+> This group is for current, past or future students of Prof Andrew Ng's deeplearning.ai class in Coursera. The purpose is for students to get to know each other, ask questions, and share insights. However, remember the Coursera Honor Code - please do not post any solution in the forum! 
+
+
+
+## Next steps
+
+Taking [fast.ai](http://www.fast.ai/) courses series as it focuses more on the practical works.
+
+
+
+<br/>
+
+<br/>
+
+<br/>
+
+Mahmoud Badry @ 2018