This course is very important for deep learning parameter tuning and internal architecture. From this course i learn how to tune the hyper parameter.

This course is wonderful and impressing. I have learned a lot in this course. However, I think I have not got the ability to use tensorflow expertly.

Nice introduction to hyper-parameter tuning and tensor flow. This will give better insight on development of neural network with better understanding

It is great to extend my knowledge on deep learning, neural networks. It is also nice to touch on to see a bit of tensorflow aspect of deep learning.

Professor Ng provides a good overview of the various hyperparameters and guidance from experience on how to proceed with their selection and tuning.

This course is a natural continuation to the first course in the Deep Learning specialization! I had a lot of fun doing the programming assignments.

Short course, but a good introduction to the topic. To get a good understanding of certain topics however I felt its necessary to some extra reading

a good overview of some of the hyperparameters tuning in deep learning that normally will not tell in class. Also introduce the basics of tensorflow

As Always I am highly convinced by the teaching and course content. It is always a pleasure to learn from Andrew Ng himself and make best out of it.

Andrew Ng gives practical tips to improve a deep neural network but also the theory behind. I highly recommend this course for every ML enthusiasts!

I didn't know about the importance of gradient checking and some practical uses of TF, before I was beginning this course. Thank you deeplearning.ai

Great content. Overall the homework is not challenging but serves the purpose well to help you understand thought the knowledge taught in lectures.

This course helps a lot in learning how to optimise the algorithm and how to deal with both training and testing accuracy and apply it practically.

Excellent course. As always, Andrew Ng taks a set of complex concepts and explains them brilliantly, making them easy to understand. He is amazing!

The explanation of maths could've been better in reading notes or something after video. Overall as usual brilliantly explained by Prof. Andrew Ng.

Absolutely elegantly done by Prof. Andrew Ng. Have become a Deep Learning addict, thanks to the professor. Eagerly looking forward to the next one!

Really helpful course .I was provided with proper guidance and I would recommend this course for improving knowledge in the field of deep learning.

The course modules were very well paced, with details as well as the programming of specific aspects of deep learning clearly explained. Thank you!

Prof. Andrew is an excellent teacher. His lectures engage the students to keep going; he also encourages the students to complete their coursework.

A very good course to learn optimization in Deep Neural Networks. It provides the knowledge in both, broader dimension as well as deeper dimension.

A very well-structured and entertaining course. Programming assignments are prepared well, so you don't have to spend a lot of time with debugging.

It was challenging; more math, more algorithms, and tougher assignments were involved. I liked it anyways; because challenge creates more learning.

Great lectures as usual, in style and coverage. Quite a bit of hand-holding in programming exercises, which cuts both ways (positive and negative).

Got a hands on experience with Tensorflow. Must learn course. All the pieces start falling together when you try Tensorflow programming assignment.

A very important course for developing efficient deep learning models. Andrew's explanations made it really simple to grasp these complex concepts.