Coursera Project Network의 Siamese Network with Triplet Loss in Keras 학습자 리뷰 및 피드백

Incomplete course, the prediction is very important not only training!

Very well instructed, I learned both a new technology and something for good python programming habits. Explanations come to the point and still are deep. Test are not stupid simple questions, but still easy to answer. And I got the impression the instructor even knows about the pain with Rhyme (and seems to do something about it !)

I like the way we got involved into practice by setting goals which are a bit challenging yet we want to achieve successfully.

It is useful as you learn exactly what you expect to learn, with just the right amount of theory.

worth enrolling!! checkout in detail about this project even after completion

it's so great for two hours, is just a preview, but is good

Nice crisp and knowledgeable course

Very Helpful !

Thank you

Excellent

Thanks!

Good

This course has nice content, but the usage is difficult. Ever after having fast internet, the videos and the environment were so slow, making it almost impossible to be used.

Not at all enough to start with a face recognition kind of use cases. The intro was cool with the explanation of using siamese network for FR kind of use-cases. But lost its cool when explaining it with mnist dataset. There's already a lot of stuff available in market and on net regarding mnist. It would have been nice if the instructor had explained some other use case too, for better understanding. The network was too small to understand the complexities of siamese network.

One of the few courses with an instructor actually present in the forum. However, this project needs both, more hands-on exercise and a deeper dive into the theory.

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously.

Good, but not recommend.