This course was very informative and the labs are really well written.... however the code is SEVERELY out of date. It needs to be updated for TensorFlow 2.0, there is simply no excuse at this point

First of all it was too complex, unlike the course on PyTorch which focused on both Theory + Practical part. It focus only on theory.

It is too basic and almost no technical detail about the DNN. It is not good for who have basic knowledge about this before.

The codes should be provided with Tensorflow 2.0. Practical implementation should also be shown.

I think that the labs should have been updated to tensorflow 2.

Way too short in terms of the amount of content

The Material needs to be updated!

Good videos and bad labs. An old TensorFlow version is used. Therefore all code is useless for the current version of TensorFlow (ver. 2). It had to become the most important part of the specialization for me... There are a lot of topics about problems on the forum. And it's strange that IBM can't change it for a half year.

This course is very outdated, it needs to be updated to Tensor Flow 2.0.

There are NO EXERCISES at all, only labs that contain the some content as the video's. I don't think I really learned much during this course, as the course does not dive deep into the models selected for the course.

The lecture is very horrible and you almost need to learn all the details about tensorflow by yourself, which does not make sense. The lecture should explain those details in a clear and easy-to-understand way so that student can benefit.

the labs are based on an outdated tensorflow version, also, the instructor is not Alex Akilson as it is mentioned in the course info.

All the code in the course is obsolete using an old version of TF. The course does not have a project nor a final assignment.

Very badly designed. Code written in the labs is very hard to understand

I get some basic Idea about deep learning