The importance of tuning hyperparameters are taught with very good examples. Other techniques for optimization are also discussed nicely.

best to understand the internal working of neural networks and different parameter tunning to make their functioning faster and efficient

I enjoyed learning from this course. The programming assignments are well-written to apply the knowledge imparted through video lectures.

I am happy to learn a lot about Hyperparameter tuning. I think that I will refer to this course when implementing neural networks myself.

Really an awesome course. Learnt about the math behind major Deep learning algorithms. A fun course and loved the saddle point reference.

This course covers so deep insight on what is like to train Neuro Networks. Extremely useful. Thanks a lot to Andrew Ng and all the team.

The Course that gave me confidence to overcome the performance constraints of ANN - now I have a bag of tricks to improve the performance

The professor did a great job in explaining the intuition and shared a lot of practical tips. Programming homework is very well designed.

A wonder course, which is always the case for Andrew's course. It was nice to learn what's happening with momentum and Adam optimization.

I use to be always scared by the terms like Hyperparameter Tuning, Regularization. After this course, I am pretty comfortable with them.

The course is a perfect balance between theory and "hands on" assignment to familiarise yourself with the optimisation of neural network

This course provides great insights into multiple ways of improving a deep neural network in practice. Well structured and rich content.

One of the best courses I've attended; gives a lot of intuition, but some more programming exercises, even optional ones would be great.

Just reading a book of all these concepts is not enough to have a deep understanding. This course is just right to learn what is needed.

Some of the lessons were quite confusing and still not clear but Mr Andrew was absolutely brilliant. Loved the time spent on the course.

The theory and explanation is awesome. But, I wish the last programming exercise will be adapted to TensorFlow 2 (instead of TensorFlow)

It was definitely a bit more difficult than the previous one, but also it was just as much fun doing this course as the previous one. <3

This class is amazing for those who want to start their career in the world of Data Science with Neural Network!!! Highly recommended!!!

Another awesome course. Things have been discussed in great details. I would like to thanks Coursera for offer such a wonderful course.

Professor Ng explains complex concepts with such ease. Uses great examples to illustrate the 'why' aspects of everything in this course.

Another excellent course which builds on the material from the previous course.

Thanks Andrew for presenting it in the best way possible.

Very helpful course. There are a lot of practical tips covered. Also, the explanations to why the techniques could work is very helpful.

very useful course to understand how to tune your algorithm for better results and accuracy, also how to manipulate your hyperparameters

Lots to learn about parameters that effect the neural network and various regularization and optimization techniques for neural network.

This course provides a lot of information that ML researchers obtain through practice. This course will help beginners get a head start.