Un muy buen curso!!

Such a good course

<3 Awnsome course

Excellent course

it was Great!!

Amazing course

i like it

very nice

Amazing!

awesome

Brutal.

I would have loved that the focus was more on the side of "how to deploy this systems" , not always be using the seme datasets and at least one of the weeks should be, how to detect some random stuff and deployed that and use it with your webcam for example. Will switch dificulty to the maximun also in the website.

Neat course although I did not like the part on the Object Detection API, which felt a bit ad-hoc to me, and I would've loved to hear more about the analysis that amounted to ZFNet (a reference is given though). Other than that, it nicely picks up the knowledge from the previous courses and applies it.

We have managed some state of the art image detectors but we haven't go in deep with them.

Specially with tf od API, we have managed some layers for feature extraction but without understand why.

This is a bit of a step function in terms of increased difficulty and decreased clarity in the advanced computer vision specialization. I gained a lot of useful skills.

The last assignments evaluation metric is not appropriate. Kindly change the way you evaluate the code from ssm

Some of the assignments were not clear or had conflicting instructions which wasted time.

it was a very wonderful experience

Good Course

It was interesting, but if you have an idea that is not represented by data in a dataset, for instance people, cars, cats , dog, birds, mammals, plants or horse, you will be doing the very basic stuff . Anything other than the data mentioned will require long hours to get images into a folder and program it. I would have liked to figure out how to use this to read a dvd file of a CAT scan, but that was too much for me. It states online that some data sets of unrelated things can be used to read a CAT scan. I don't understand how to do that.

Some of the assignments were really diffucult. This in and of itself is not a bad thing. I think what is needed is faster help/response times from tutors and more tips/hints for common errors

We saw a couple of very practical examples but finishing the course didn't leave me with a sense of accomplishment. I basically just copy-pasted stuff from one notebook into the next.

There are dead links. This course is not nearly as well organized as the previous 6 in the Tensorflow/ Advanced Tensorflow continuum. The content is useful, though.

Coursera & the course provider shows very poor standards in assignments. None of my assignment submitted without complaint. Course provider made all assignment with very poor ethics, all is good, you pass in the colab but on submission grader not taking your model. And no bug/error shown or proved why this this thing happen. Course provider didn't provide valuable information which we need to complete the assignment, he leaves much on the user and on the colab to manage.