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
por Konrad B•
It is ok
por Nagesh R•
por 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.
por 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While the lab and videos explained the concepts really well, the codes from the labs are outdated.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
por 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.
por 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.
por 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.
por 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.
por 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.
por Mitchell H•
All the code is TensorFlow1, which is unfortunately completely outdated. Also no assignments or final. But good for the fundamentals of TF.
por Alistair K•
Basic level but well explained, useful notebooks, not much on Tensorflow, more on the theory of the networks. Uses outdated Tensorflow v1
por 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
por I'm M•
I do not consider the practical part to be exactly beginner level, but the theoretical material is very good.
por Jesus S d J•
Labs would need to be updated to new versions of Tensorflow
The presentations were clear and concise
por jordi p c•
There is a sense to be outdated. Not much activity in the forum, code which is not updated...
por Benhur O J•
Too focus in coding but not in the underlying concepts and how to use the libraries.
por Jochen G•
Interesting view on tensor flow, but gap between labs and videos is quite big.
por suman k s•
But in this short duration we can't expect more.
por Giorgio G•
Course needs to be updated to Tensorflow 2.0 at least.
por Kabila H S•
The tensorflow version is outdated
por Rafi J O•
Outdated and not in depth enough.
por Emanuel N•
Falto mas teoria
por Bernardo A•
No real dataset
por ABOUJAAFAR O•
por 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.