YL
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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.
NC
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Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.
By Bruce C
•Dec 8, 2017
In this course, I learned a lot of important concepts and useful implementation techniques. Even though I do have some implementation experience before taking this course, it's still very helpful.
By Gurumurthi V R
•Oct 1, 2017
Excellent pedagogy and a simple but effective breakdown of the DL principles in a way a beginner can understand and later appreciate after delving deeper into the subject. Very highly recommended.
By Alvaro P
•Jan 26, 2021
Andre does a great job explaining concepts and intuitions, and the contents of the course are up to date and relevant for anyone looking at getting started with neural networks and deep learning.
By Annwesha P
•Jun 11, 2020
It was a very interesting course hence didn't even take much time to get completed. It gives a comprehensive overview of deep learning frameworks and the skills needed to optimize your algorithm.
By Bhanu P M
•Jun 4, 2020
The course material is great. Assignment problems are very engaging and allow us to practice all the concepts that we learn within and before that week. Andrew NG is great at teaching concepts .
By Samiul I
•May 31, 2020
Highly recommended after completing of Neural Networks and Deep Learning.
Good explanation about regularization and other optimization technique.
The last assignment of tensorflow is very useful.
By BuÄŸra C
•Apr 12, 2020
Exceptional as always. Online courses as engaging as the ones Andrew Ng teaches are a delightful rarity. This course was a joy to participate in and I feel throughly satisfied with my experience.
By LI X
•Aug 24, 2018
I think we as students should have more coding exercise, the coding assignments are too simple if considered as a school-teaching course. We gotta to find some extra Deep Learning projects to do.
By Sean C
•Feb 15, 2018
A valuable course in enhancing one's ability to properly identify the correct Hyperparameter to tune according to the situation - a critical task in day-to-day debugging & tuning of an algorithm.
By Livakivi
•Nov 13, 2017
Another great course in the deeplearning.ai specialization, all the given topics are clear and understandable, with the amazing addition of finally getting to deep learning frameworks in the end.
By Bruce M
•Aug 6, 2020
great course; love the AI heroes sessions - nice quick insights into current research; and enjoy some of the historical aspects as well ... takes me back to my early AI/image understanding days.
By Yong B S
•Jun 15, 2020
the course is great! I've learned more hyperparameters. The course has teaches me how to add regularization and optimizations. That is another important part of Deep NN. Thanks to the professor!
By Akhil G
•Jun 15, 2020
A Very Well Structured Course. I learned a lot and enjoyed the way in which everything is explained. Each topic is discussed in great detail with both pros and cons of each Deep learning method.
By L V K S R B
•May 10, 2020
Great course!!!! Helped me with getting better intuitions on how to develop a simple neural network with normalising inputs, regularisation, optimising algorithms, hyperparameter tuning, etc ...
By S. M F
•Mar 19, 2020
The specialization is getting more and more interesting! This course was really important to learn improving a model. Now I understand what's going under the hood of basic TensorFlow operations!
By Omar S M
•Aug 30, 2019
This is an excellent course in which Professor Andrew Ng explains all the concepts and methods related to various optimization techniques and ways to improve neural networks, in a superb manner.
By AKANSH M I L S
•Aug 13, 2019
I found that the concept of Deep learning hyper parameter tuning were nicely taught and assignments were also designed very well. However, I am not able to learn much about tensorflow framework.
By Ryan W
•Jul 31, 2019
Great course. Wish it had slightly more in terms of turning hyper parameters with the Adam optimization. Liked the tensorflow framework at the end; I hope it is expanded upon more in the future.
By Kai C
•Nov 3, 2017
Through this course, I learnt how to tune hyperparameters and a set of optimization for the train process of neural networks. Further I got the opportunity to play TensorFlow. I really enjoy it.
By Sudipto C
•Sep 14, 2017
Well structured course and very good material. Thoroughly enjoyed Prof. Andrew Ng's lectures and leart a lot from them. I only wish the programming assignments were a bit tougher than they are.
By Alexander G
•Sep 3, 2017
Thank you for your explanation that are very useful and clear! You present so much difficult material but you do it very concentrate. Thank you for practice and excercises that are very helpful!
By Mike D
•Aug 22, 2021
Great course, recommended. Coming from a corporate coder/admin/architect/data engineer background this specialization is making me think and work, just as I hoped. Thanks Dr. Ng and everyone.
By Susan M
•Apr 14, 2021
For a first time learner in this arena, this was a great intro to what and how to proceed. I could take the course a few more times to be ready to use this in industry. Excellent instruction.
By Stanislav T
•Jul 14, 2018
This course contains great hints for optimisation and tuning. Even if you know about neural networks this course can still be valuable to fill in some gaps and help you improve your algorithms.
By Tannmay Y
•Jun 4, 2018
Really Amazing course! Highly recommended for all those who wants to go deep in deep learning and understand important methods and logics behind them. Programming assignments are very good too.