The key concepts were well explained, but I found the exercises difficult to follow. Some lines of code were completely new to me, and I would have appreciated more comments or explanations for them. What disappointed me the most was that the exercises sometimes led to incorrect results; the neural networks struggled to complete the tasks, accuracy was low, and it was often unclear what the networks were being trained to achieve.

The lectures only cover various neural nets and not how to actually implement them on Tensorflow, which should be the gist of the course. Further, the labs are at many places not compatible with the most recent Tensorflow version 2's, and only work for previous Tensorflow version 1's which are quite different. The labs must be re-written for the newest versions given Tensorflow's backward incompatibility.

Weakest of the IBM series I took. Problems with labs working. No response from questions on forums. A very shallow presentation of fairly deep subject matter. Very little background or use of TensorFlow.

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 however the code is SEVERELY out of date.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.

These videos feel like they're done using an AI, but not a good one.

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

In my opinion, it doesn't help to learn the Tensorflow module.

Way too short in terms of the amount of content

The Material needs to be updated!

Labs do not work!

Learning content was good, but making assignments was a nigthmare, I could not set up an IBM Cloud account, becasue they could not verify my payment card, when i asked them to help me, they just responded "We have reviewed your account/transaction and will not be able to offer services. No further information will be disclosed regarding this matter. Any card authorizations will reverse within 24-72 hours depending on the issuing bank.". They ghosted me completely and did not want to help. I do not recommend. It's no wonder that with this kind of customer attitude IBM is far behind the competition today.

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.

Terrible. The codes cannot be executed because of tons of error that even as an advanced programmer, I cannot deal with easily. This course has terrible quality and for the sake of IBM's reputation, this course should really be removed

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

waited a week for the labs to show as completed. pathetic

Needs an update, poor quizes, terrible sound ...

I get some basic Idea about deep learning

the final assignment can not be accessed