The course should included some information of how the hyper parameters of different models should be tuned and what are their effects.

Apart of that, the course was very comprehensive !! :)

i think this a very important course for the people who want see deep learning in action. Tensor flow is very practical tool and the instructor explain it very well. thanks for every thing

Good Intro, esp for people who want hands on without writing much code from scratch. A lot of learn, watch and reuse examples. Overall great intro to the concepts and building components.

Great instructor, quite engaging and fun material, but it's a bit too high level. Also, if you've already had some experience with TF or Keras, this course will be way too easy for you.

actually, we get the introduction from a practical prespective more than a theoritical one, but overall it was so useful and helpful for me, thanks for this effort, big love from Egypt

Great intro to TensorFlow and Deep Learning for the typical software engineer. Week 4 could have been a bit more detailed - Week 4 tries to cover too many stuff. Week 5 recommended :)

It was a really nice introduction to deep learning , And the Course was broken down to be simple for beginners . Eagerly waiting to complete the next 3 Courses in this Specialization

This course gives a good introduction to tensorflow with explanations of each parameters used be it layers or filters. It mainly gives an experience of hands-on course on tensorflow.

This course was very easy and only took a few hours to complete. That said, I felt like I learned something about TensorFlow so it was worth spending a few hours working through it.

First of all the video lectures were greatly informative and I was able to understand in one go. The extra exercises for getting hands-on was very helpful. Very nicely built course.

It is an excellent course which makes us familiar about the utility of the Tensorflow in building the NN. Also, it briefs about the utility of CNN in handling large amount of data.

Really good high-level overview of basic machine learning. But I highly recommend doing your own studying and using this to enforce what you've learned to really get a grasp on it.

Very nice introduction to neural networks with Colab, TF. Keras. Labs had minor glitches but it's okay as some troubleshooting experience would never hurt for better understanding

Errors like "Can't compile the student's code. '>' not supported between instances of 'NoneType' and 'float'" just because of usage of "acc" vs "accuracy", somehow could be fixed.

The course structure is very nice. One thing that needs to be improved is that each and every code line should be explained properly instead of explaining the whole block at once.

some labs namely week 3 should be updated so that the alot of error of the student could not came and students had not to wast allot of time just to debugging in the perfect code

easy to follow videos. great paste on code walkthrough. the notebook running environment needs to be turned to use correct tf versions. there are a lot of confusion in that area!

The course content seemed to be fairly less. For people with prior knowledge in tensorflow, it acts a quick refresher. The tests were pretty easy, hoped for something difficult.

Its a good introduction for beginners to tensorflow library. I would suggest first clearing your fundamentals of machine learning and computer vision before taking this course.

It is very good introductory course, however, it doesn't dive deep into the math behind the concepts or the other codes in the notebooks. But definitely a good starter course.

The course was great, and it was a wonderful introduction to Tensorflow, I would like to go beyond the basic, having more technical material that cover the topic more deeply.

During week 3 and 4, much more information appeared compared with week 1 and 2. It got quite difficult. I would say this could be more balanced by adding an additional week.

Great course but should go in-depth about the functions used. Also, the part about making a custom classifier for multiple categories (more than two categories was missing)!

Some minor but annoying mistakes prevent the highest score. The introduction is easy to understand. Exercises and examples are easy but helpful for understanding. Great job!

A very thorough and dynamic course, that helps you understand exactly how to build a basic NN using tensorflow and keras, though the programming exercises are very simple.