Great content, excellent explanations.

But I couldn't run the notebooks without running into kernel issues, the programming assignments were a real hassle.

Could have been a more elaborated course. This course mostly talks about how Keras functionality has been adopted by high-level APIs in Tensorflow.

This course gives a high-level overview to tensorflow keras api which is good to begin with but working on complex use cases would be preferred.

This course was not focused on learning tensorflow as I had hoped. Instead, it felt like an into to neural networks course using tensorflow.

I missed graded exercises. WIth only the simple multiple-choice questions tests it becomes a try and retry game to score as high as possible,

Too easy and lacks theoretical explanation, even though there are references and it seems that it lacks the explanations on purpose...

After finishing the amazing Machine Learning course, this felt little underwhelming. Hopefully the next courses will be more in depth.

The examples almost show you how to complete every labs. It would help me more if you increase the difficulty in the exercises.

Too basic for someone with a maths and Machine Learning background. Probably better to upgrade to the Advanced classes offered.

This Course is only useful if and only if u have prior knowledge about neural networks, and if previously used Tensorflow

It was a well-formatted course for someone just starting out with tensorflow as their choice of deep-learning framework.

Very good course to start with TensorFlow but a lot of problems on coursera's servers, the exercises are crashing a lot

It was annoying to keep writing the callbacks when we could use the inbuilt callbacks already provided. twas alright.

Exercises are too simple and mostly mechanical, they don't force to explore the internal network details and concepts

It was a very basic course. Didn't learn much from this course. Expecting a better & in-depth dive in future courses.

Quite short course with not so much information as for a paid course. Other than that - good intro for the beginners

The quality of assignments should be better. There should be less emphasis on overfitting the data to 99% or 100%

Compared to the Deep Learning Specialization, this course falls short in course depth and coverage of material.

the grading system is so bad it slowed the progress too much sadly, but the instructions was so clear and good.

Exercises are a little bit too simple. It is only a matter of copy/paste.

The github folder structure is a mess!

I expected a TF-focused course, this was more "basic synthax of keras". Thanks for the good work nonetheless!

The code is not consistent at some places. There is no high level overview of how tensorflow actually works.

Very brief introduction. Would have been great if the discussion was elaborate and mathematical at times.

Lacks depth and complexity. The course is geared more towards complete newbies or high school graduates.

The assignment is too easy. In most cases, we only need to copy paste from the lecture example program.