KG
Feb 3, 2025
I have seen a lot of people explaining different things in Deep Learning, but I must admit, this course should be given 10 on 10 for covering everything theory to code, basics to advanced.
ZR
Jul 2, 2020
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!
By Charles L
•Jan 23, 2020
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 Gopal I
•Apr 14, 2022
One of the better courses in the IBM AI certificate. The notebooks are nicely annotated and have more relevant information than the video lectures.
By Mitchell H
•Aug 6, 2020
All the code is TensorFlow1, which is unfortunately completely outdated.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
•Jun 11, 2020
Basic level but well explained, useful notebooks, not much on Tensorflow, more on the theory of the networks. Uses outdated Tensorflow v1
By Alex
•May 27, 2020
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
•Apr 16, 2021
I do not consider the practical part to be exactly beginner level, but the theoretical material is very good.
By Jesus S d J
•Jul 12, 2020
Labs would need to be updated to new versions of Tensorflow
The presentations were clear and concise
By jordi p c
•Jun 9, 2020
There is a sense to be outdated. Not much activity in the forum, code which is not updated...
By MD S A
•Feb 1, 2022
It would be better if the exams are a bit more tough.
The questions are too easy to solve.
By Benhur O J
•Jan 30, 2020
Too focus in coding but not in the underlying concepts and how to use the libraries.
By Jochen G
•Feb 8, 2020
Interesting view on tensor flow, but gap between labs and videos is quite big.
By Suman k s
•May 19, 2020
Low explanation.
But in this short duration we can't expect more.
By Giorgio G
•Jun 25, 2020
Course needs to be updated to Tensorflow 2.0 at least.
By Sanjeev G
•May 10, 2022
we should have more videos and theory also..
By Chris R
•Aug 15, 2022
Material excellent, cramed though.
By Kabila H
•May 17, 2020
The tensorflow version is outdated
By Rafi O
•Jul 12, 2020
Outdated and not in depth enough.
By Emanuel N
•Feb 23, 2021
Falto mas teoria
By Bernardo A
•Aug 26, 2020
No real dataset
By ABOUJAAFAR O
•Jun 2, 2020
no applications
By Juho H
•May 12, 2020
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
•Sep 22, 2020
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 Dean E B
•Apr 26, 2022
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.
By Stefan L
•Jul 4, 2020
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
•Jan 13, 2020
First of all it was too complex, unlike the course on PyTorch which focused on both Theory + Practical part. It focus only on theory.