This lecture series is really easy to follow and informative. I previously had no experience with distributed training concepts. I think It opened up doors for me to learn more advance concepts regarding distributed training using TensorFlow or any other deep learning frameworks.

Great course! The only downside, but maybe it's just out of the course's scope, is the lack of real projects at the end of it. That is left up to you, which is not a bad thing, but it'd be nice to have it as a great conclusion to a great course.

This course was much more detailed, I liked it. I hope there's a TF course down the road which really gets into all those numpy-like TF functions and APIs and how to use them for complex layers and losses.

For a newbie (me) this course helps me to know something new but it's not much helpful for my current job now

The course provides under-the-hood insights of Keras APIs and gives in-depth review of native TF APIs

Good assignments are too easy

Week 03 Grader is error

week 1 and 2 were great - full of many interesting information week 3 and 4 were quite boring thus hard to struggle and get valuable knowledge

couldnt access flowers-public data from gcs, so couldnt practice the week 3 lab .

Was good but the programming assignments could be improved with more practice.

The course is fine but it lacks depth in applications, assignments, as well as resources.

A complete waste of time.

nothing here that I can't get from just reading the docs...