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
by Patricio V•
Good material but almost all the labs are too slow to run properly
by Vishwanathan C•
Good introduction to Deep Learning Models with Tensorflow
by Tim d Z•
Very informative, could use some more room for practice.
by Mahesh N•
Lab content must be updated with latest TensorFlow.
by Armen M•
Thank you. thought it's could be more deeper
by Mpho c•
no audio in the last learning unit 5.
by TIANYU S•
some questions are a bit confusing
by Bhaskar N S•
It is ok
by Nagesh R•
by Roger S P M•
This is a pretty good course on the different types of neural networks and their cousins. The presentation slides are really well done. The examples are programmed in TensorFlow. But the course does not really teach very much about TensorFlow itself. The opening lecture on TF describes it in terms that suggest this was created for TF 1.x, rather than the new structure in 2.x. But that turns out not to be an issue since they go into little detail on TF itself.
The programming examples are really good. However, most of the time, the CognitiveCourse.ai web site on which they run is usually not working. So you often cannot use the labs in conjunction with the lectures. You have to go back and access the labs sometime when the website is working.
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While the lab and videos explained the concepts really well, the codes from the labs are outdated.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 I'm M•
I do not consider the practical part to be exactly beginner level, but the theoretical material is very good.
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 c•
There is a sense to be outdated. Not much activity in the forum, code which is not updated...
by Benhur O•
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.