Labs not very challenging

a bit hard to understand

Few things are off topic

lack explanation to me

This is an awful course. The target audience remains a mystery to me, since the difficulty is all over the place. The labs do not teach you anything and there is no incentive to do them. Moreover, material is outdated, it is plainly obvious in the features section of the course and in the last lab. You'd be better off teaching yourself Tensorflow using YouTube and ChatGPT. The only reason for 2 stars (and not 1) is that the lectures are sometimes engaging, and there is an OK list of extracurricular materials.

Access to GCP is very nice in order to discover the "real" business-side of TensorFlow in production BUT

Labs are not learner friendly

Part of exercices cannot be performed because of updates in their service and no answers available on forums (TensorBoard not being launched following their steps)

This course is NOT learning to code TensorFlow, it is a way to USE GCP in order to run ML & AI

If you want to learn to code TensorFlow, don't register

If you want to learn how to use GCP, register

It was a new programming paradigm for me. So, I can't say that I got it

completely. Exercises required to much code completion and there were not enough hints on the notebooks. I managed to finish the class in a day though. I think, I now know the basic concepts of Tensorflow.

Thank you.

This course is just ok. It is not interactive and I don't feel that I learned much when compared with other ML courses. I expected to work through the lab assignments rather than to simply click through them.

I feel that this course was a waste of time.

I don't feel this course , i don't understand many concepts . As the course name suggest " Intro to Tenserflow " So, You should have to teach from basic and many concepts are out of my head i don't understand

Needs proper explanation on the labs. Labs needs to be better and should be like the labs from Deepleaning.ai courses

Things weren't clear . Without giving much details and Insights the instructors are giving codes .

It's not much about Tensorflow, more a showcase of a "black-box approach" on how to use GCP

Good for understanding architecture but explanation and course readiness not in depth.

Poor explanations and materials, absolutely not enough to solve a workshop.

Labs difficult to comprehend and badly guided

Rushed, underexplained - will not recommend

Feels like an ad for google cloud platform

Uses tensorflow 1, not relevant anymore

should have told about TensorFlow 2.0

The Lab explanation is not clear

Not that good. No engagement.

out of date

The first week was promising. Starting from the 2nd week though, the instructor stopped to really explain how the code works in the lab session. Even worse, in the solution video follow the lab session, he seems to be working off a different version of the codes than what is in the lab. I checked the comments a bit, it seems that the lectures and the labs were in sync 2-3 years ago; and then one of the them got updated but not the other.... If u r already experienced w/ tensorflow, u can probably follow just fine. I am comfortable in Python and Keras, but this is still too much for me.

In my opinion, this course doesn't teacht well... The didatic is not for everyone, mainly for who is really introducing in the platform. Also, the google cloud and its services is paid out the course, this means that if you want really create your ml models to pratice, you will be dependent by the plataforms

There are many errors on this course:

1) There is not explanation of Exporters and the videos speak like there is.

2) The last (and most interesting) lab is useless as the model dwnloaded is incomplete and was previously completed. But it is deleted by the change of goggle account.

Others I don't remember.