The tensorflow version is outdated

Outdated and not in depth enough.

Falto mas teoria

No real dataset

no applications

Disappointing stuff. The videos teach complex stuff like recurrent neural networks (RNNs like LTSM), restricted Boltzmann machines, and autoencoders very quickly - less than 10 minutes per "week" of learning. While the labs are extensive, you don't learn anything as the amount of TensorFlow code is totally intimidating and none of the steps are really explained. You can copy the code, but you won't develop an understanding of it in this course. Not to mention the code is so heavy the Skills Lab times out before the network is trained. Still, if you just want to claim you've done Tensorflow, you can click through the stuff in about 30 minutes per "week" of learning.

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 however the code is SEVERELY out of date.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.

give us some assignments please, explained the same concepts multiple times, make us earn a grade not just give it!

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.

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.

does not give a certificate and is never interested in this situation, everyone complains about this situation, but they do not give us a satisfactory answer, almost 1 month has passed, but there is still nothing worthwhile, the return is not good, do not take this course in vain.

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.