Good course though the quizs seem to contain 1 or 2 questions every week that were not discussed or are missing the answer directly mentioned in training.

The course was very preliminary in nature. I could complete it within one week. May be it is designed for someone with no introduction to Machine Learning.

It would be better if the homework instruction can remind more about why the memory or run time error might occur in the grading system before submission.

Since it is intro class, it gives you an impressive teaste of TensorFlow. There is a long way ahead that being an AI guy. work hard and you are the best!

A brilliant start for a learner who is eager to engage in AI. For me, a Chinese practitioner, the Chinese subtitle could be uploaded as soon as possible.

Great course to gain an introduction to the topic. Only complaint is that towards the end (in week 4), the labs are a bit repetitive and too open ended.

Good Course. Assignments are very good. It is a difficult course for beginners but they can learn all those through materials and other videos provided.

It is definitely an exciting course to kick start your experience into deeplearning . Kudos to the course instructor Laurence Moroney for this course .

These courses are a great complement for the theoretical deeplearning.ai courses, I recommend you do this after and learn more about the modern tools.

El curso es muy bueno. Sin embargo, aunque puede que no corresponde a este curso, me hubiera gustado una pequeña introducción a las clases de python.

It was great! There are some quizzes with tricky questions, and it would have been great to get more feedback on the quizzes, but it was pretty good.

Fantastic teaching from Laurence and Andrew! Some of the Colab code did not run which required lengthy troubleshooting, which took unnecessary time.

Good quick review of basic tensorflow applications. Not particularly rigorous or in-depth, but enough to reinforce/introduce introductory concepts.

Great material. The grader and jupyter notebooks need to converge with the github repo. Copies of original assignments on github would really help!

The course is a good one but very basic. And I was expecting TensorFlow not Keras maybe that's why I found it a bit too basic and introductory.

The ideas were explained in a really good manner. The level should have been more challenging for programming assignments with less hand-holding

A good intro to computer vision. You may want to supplement your course with external content to fill in gaps that will differ for each of us.

Great introduction on Tensorflow and some key concepts of NN, however I find the course fees is slightly too expensive for such an introduction.

Covers only the basic coding part using tensorflow. I suggest you take the Deep Learning Specialization before this course for the math basics.

A good introduction to TensorFlow. Anyone with just a little programming experience will be able to get started in this very exciting new tool.

It was a grate experience to learn Dnn, Cnn, keras , tensorflow . Concepts where explained with examples which made course easy and intesrting.

Course is pretty good except for one issue, arugument expected by logs.get() in notebook is 'acc' but video in course urges to use 'accuracy'.

There are some technical issues with submitting the assignments. These can be easily overcome, take some time to find out how to do it though.

The course is great, If you have already done deep learning specialization by deeplearning.ai then this course will give the finishing touch!