Some exercises are not clear enough, that is why 4 stars, overall it is 5 stars.

Tensorflow 1 assignment should be updated to version 2

Otherwise very good course.

Loved the way how Prof.Andrew Ng explained everything in such a simplified manner

Good Insights of hyper parameters with other techniques to improve learning rate.

Content was excellent and it was delivered by Andrew Ng sir in an outstanding way

I thoroughly enjoyed this course. Presents the material in an easy to learn style

they should have given more lectures on tensor flow but still it is a nice course

The assignment teaches tensorflow v1 where I would have expected v2, Keras, etc.

Good understaning on why certains 'tricks' in nn tuning and regularization work.

In my opinion,the tensorflow framework should have been set in a separate course

very good but TensorFlow requires more explanations especially in the last block

great course, last videos (except for frameworks ) were somewhat hard to follow.

More excersies on batch norm and hyper parameter search could have been usefull

A programming assignment about batch normalization and softmax will be helpful.

Very interesting to improve the foundations of neural networks previously learnt

Not much ground covered on implementation of hyperparameter search in tensorflow

Great course, nice explanation of optimization techniques...too less TensorFlow.

Good course could have been better expected little more on Tensor flow exercise.

Clear and simple introduction to the topics. Useful hints and 'takeaway lessons'

Should have some TensorFlow Tutorials. I have found it difficult to understand.

Good content. But I found the pace a little slow , maybe just my impatience. :)

Great insights, however the programming assignments came with some minor issues

A bit short and light to be a course on its own but still useful in the series.

This course is a bit harder than the first one although it is only three weeks.

Useful material and good teacher but the grading system has some serious issues