学生对 Google 云端平台 提供的 End-to-End Machine Learning with TensorFlow on GCP 的评价和反馈

The contents are good but some materials have buggy code. (lab 4, lab6, lab7). Those labs cannot finish but I have to accept the concept what the teachers are saying

This course is good to the beginner in first time. But, it has more complexity contents from middle. Also, every labs require quicklabs mission. it's very repeative. I recommend the simple task need to auto.

Great Course with exposure to end to end deployment and Code Sample to learn Faster

good

pretty good for intro to get a feeling of how the Machine Learning System is working as a product.

The course is well structured. However, Google moves really fast when creating new products hence there is some confusion when running the labs. That being said, it's amazing that qwiklabs is utilising essentially a live environment for practice.

It is good course it contains all required to understand what you need to make and finalize and I learn all steps needed to make model ML app with google. However, there some notes sometimes I miss understand in labs there moving in code fast without explain maybe the labs for us to read later and at the end thanks to share with us your expertise and information

Good !!

great survey of it. optional labs should be mandatory I think. Also it would be nice to have a end to end walk through in summation. another option to complete the mental model it to map notebook sections to the GCP infrastructure in a presentation.

I wonder about cloning the gcp repo locally to use it as a local template to further study. In other words I fire it up in my account later. or I access GCP via anaconda jupiter. Just wondering.

It's good to quickly overview ML. But some syntax is not so friendly to understand if I didn't see the manual .

Course covers the fundamentals of GCP with TF. Although the labs don't require much of a coding, and the ones which require have a poor structure because after each subtask say Task 1, you should be able to see if your code outputs the correct output, so for that they should have included some testcases. Also in the training part, quicklab has limit of 2 hrs, but training takes about 40-50 mins for a lower input size, and that lab requires to run training 3 times, so I was forced to just trim down the input size to fit all tasks within the lab time limit.

Exactly what it says. Labs are trivial and I felt like I didn't learn much other than how to use the interface for serving and taking a model from start to finish. The core concepts are useful both in GCP and if you decide to roll your own stack

Good: Course structure = great, content is relevant and interesting

Bad: Labs do not always work (e.g. deprecated GCP modules incompatible with apache-beam), code for labs already contains answers... would be nice to have "lab" file and "answer" file to make learning more explicit, also, the white guy with the mustache should rerecord his videos.... the cadence is distracting and he does not go into as much depth as Lak

the course is helpful for any learner initial to touch GCP learning

thank you

nice

I am satisfied with GCP training except for some errors.

I think I need the latest update.

well

QuickLabs has error in many labs

This course is not very practical nor very well explained. The topic is very interesting but it is not delivered clear enough.

errors...

The labs were completed, I need to only run them. which I think I couldn't engage myself

Most of this course lack the actual coding so I dont think I get much actual experience from this course

Labs are not working. I'm getting 'access to the resource denied' error

Looks like this class could be very useful, but you have to pay up front before you can try any labs. Don't bother auditing.