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It is always interesting to learn something new. The course helped to understand the important details of the setup. I would like more practical part for a deeper understanding of the application.

I had to go over some videos multiple times as this a very deep topic.. What would be great is having more programming assignments in the style of Kaggle competitions. You can keep them optional.

The material was interesting. TensorFlow was very brief. What you basically do in the homework is to copy paste the code. But I do not think that I would be able to write the code from the scratch

Thank you! Great lecture videos and programming assignments with a lot of help built in. I was able to figure them out. Need more practice to master the materials. Thank you! This is a great start

This is a very important part of the deep learning course, Generally people skip such type of things but here it is deeply explained and a hand on practice assignment makes it totally transparent.

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.

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.

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.

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.

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 .

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.

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.

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.

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.

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.

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.

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!

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.

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 ...

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!

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.

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.

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.

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.

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.