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Learner Reviews & Feedback for Building Deep Learning Models with TensorFlow by IBM

4.4
stars
793 ratings

About the Course

The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems....

Top reviews

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!

DO

May 26, 2020

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

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101 - 125 of 166 Reviews for Building Deep Learning Models with TensorFlow

By Projit C

Apr 1, 2020

The coding part was hard to understand. If that part could also be covered in videos as a tutorial.

By Panos K

Jun 5, 2022

Great introduction to unsupervised learning. However its an easy course with not much to offer

By Sarah H

Jan 10, 2024

challenging but i wish the quiz questions were more useful in testing our understanding.

By Javier R

Jul 17, 2020

It would be grate that the examples have been updated to the TF 2.0 version.

By Kaosara B

Aug 5, 2022

i loved it. I have an undertsanding of different deep learning models

By srivikram m

Jun 5, 2022

Was a really fun course, but the final assignments were very lengthy.

By Patricio V

Jun 1, 2020

Good material but almost all the labs are too slow to run properly

By Vishwanathan C

Apr 21, 2020

Good introduction to Deep Learning Models with Tensorflow

By Tim d Z

Mar 24, 2020

Very informative, could use some more room for practice.

By Mahesh N

May 1, 2020

Lab content must be updated with latest TensorFlow.

By Armen M

Mar 25, 2020

Thank you. thought it's could be more deeper

By mpho c

Jan 7, 2020

no audio in the last learning unit 5.

By TIANYU S

May 26, 2020

some questions are a bit confusing

By Bhaskar N S

Apr 4, 2020

Met expectations

By konutek

Feb 2, 2020

It is ok

By Nagesh R

Jun 8, 2020

good

By Roger S P M

Apr 4, 2020

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

Sep 10, 2020

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 v S

Oct 2, 2022

The course is good in order to gain an understanding of the different types of Neural Networks, Algoritms etc. are present and what their purposes are. However, the course stems from 2019 and doesn't seem to be updated that much if at all. The mechanisms and coding required have change significantly since them, so the actual exercises are kind of outdated.

By Simon P

Oct 17, 2020

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

Jan 17, 2020

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

Feb 6, 2020

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 Jorge T

Aug 10, 2023

Nice review when you have previous knowledge. The PyTorch course was more detailed. Nowadays, Pytorch is becoming more popular than TensorFlow and the new Keras API supports it (PyTorch) as well.

I think it is time for IBM to update its syllabus.

By Alexey K

Feb 5, 2023

Videos are good, but lack of graded coding practice is a big issue with this course. I barely knew how TensorFlow works before starting this course... and this hasn't changed after I finished with 100% grade.

By Philippe G

Mar 16, 2020

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.