Basic level but well explained, useful notebooks, not much on Tensorflow, more on the theory of the networks. Uses outdated Tensorflow v1

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

very useful modules 1-6. however the course is significantly let down by the setup of peer marking in module 7

I do not consider the practical part to be exactly beginner level, but the theoretical material is very good.

Labs would need to be updated to new versions of Tensorflow

The presentations were clear and concise

There is a sense to be outdated. Not much activity in the forum, code which is not updated...

It would be better if the exams are a bit more tough.

The questions are too easy to solve.

Too focus in coding but not in the underlying concepts and how to use the libraries.

Interesting view on tensor flow, but gap between labs and videos is quite big.

Low explanation.

But in this short duration we can't expect more.

Course needs to be updated to Tensorflow 2.0 at least.

we should have more videos and theory also..

Material excellent, cramed though.

The tensorflow version is outdated

Outdated and not in depth enough.

a lot of concepts were rushed

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 key concepts were well explained, but I found the exercises difficult to follow. Some lines of code were completely new to me, and I would have appreciated more comments or explanations for them. What disappointed me the most was that the exercises sometimes led to incorrect results; the neural networks struggled to complete the tasks, accuracy was low, and it was often unclear what the networks were being trained to achieve.

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.