Learner Reviews & Feedback for Building Deep Learning Models with TensorFlow by IBM
About the Course
Top reviews
Deep Learning made me feel that there is a way to build models and classify data so easily and in a skillful way. Amazing course!
Not so often i wish a course would be longer and more in depth I really enjoyed using TF I'll look some other courses about it
76 - 100 of 107 Reviews for Building Deep Learning Models with TensorFlow
By Michael C
•While the lab and videos explained the concepts really well, the codes from the labs are outdated. They are using tensorflow version 1, while tensorflow version 2 (current version) is very different. I have to go outside of this course to learn the new codes.
Other than that, every other aspect of the course is good. explanations are clear, videos and diagrams are very detail. Just the right amount of labs etc
By Simon P
•Lots of code and theory heavy, which is not a bad thing, but there is little thought given over to the actual learning objectives. There is also no real opportunity to practice learning to use TensorFlow. There are likely better tutorials out there, which is a shame because a lot of effort has gone into this course.
By Gherbi H
•The Course was more about the the types of neural networks and how they work than Tensorflow, except for week 1 where we had a Tensorflow introduction, I could gather a lot from the programming assignments but I think there needs to be more about the Tensorflow library in the lectures.
By Yong S
•I found the practice notebooks of this course to be lacking due to two reasons: 1) The notebook links are broken, resulting in my not being able to complete them. 2) The notebooks do not have practice sections where we could code ourselves following the examples given.
By Philippe G
•The course is good, but 1) the lab environment is not working at all.... I had to run the notebooks on google colab ! 2) The code is outdated. Tensorflow 2.x is out.
By charles l
•Overall good course but lectures were a bit weak on underlying math, compared to labs which made it a challenging at times to tie the two parts together.
By Mitchell H
•All the code is TensorFlow1, which is unfortunately completely outdated. Also no assignments or final. But good for the fundamentals of TF.
By Alistair K
•Basic level but well explained, useful notebooks, not much on Tensorflow, more on the theory of the networks. Uses outdated Tensorflow v1
By Alexander S
•The course is good but you have to change the codes from TF1 to TF2 since is dificult for the learner tranaslate de codes by himself
By Jesus S d J
•Labs would need to be updated to new versions of Tensorflow
The presentations were clear and concise
By jordi p
•There is a sense to be outdated. Not much activity in the forum, code which is not updated...
By Benhur O J
•Too focus in coding but not in the underlying concepts and how to use the libraries.
By Jochen G
•Interesting view on tensor flow, but gap between labs and videos is quite big.
By Suman k s
•Low explanation.
But in this short duration we can't expect more.
By Giorgio G
•Course needs to be updated to Tensorflow 2.0 at least.
By Kabila H S
•The tensorflow version is outdated
By Rafi J O
•Outdated and not in depth enough.
By Bernardo A
•No real dataset
By ABOUJAAFAR O
•no applications
By Juho H
•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.
By Junsoo P
•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.
By Stefan L
•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
By Farrukh N A
•First of all it was too complex, unlike the course on PyTorch which focused on both Theory + Practical part. It focus only on theory.
By Pakawat N
•It is too basic and almost no technical detail about the DNN. It is not good for who have basic knowledge about this before.
By Sowmyashree S
•The codes should be provided with Tensorflow 2.0. Practical implementation should also be shown.
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