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

708 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. Learning Outcomes: After completing this course, learners will be able to: • explain foundational TensorFlow concepts such as the main functions, operations and the execution pipelines. • describe how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. • understand different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. • apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained....

Top reviews


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!


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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76 - 100 of 147 Reviews for Building Deep Learning Models with TensorFlow

By Michael S

Mar 26, 2020

Very interesting material, and easy to follow along. The notebooks are a great resource. I am glad to have been introduced to these concepts. However, I felt this course was too easy and it did not encourage the student to complete projects or any independent work. In any case, this course was worth taking.

By James R

Dec 22, 2019

I liked the course; however, there was no sound or transcripts for the last week of the course. This required me to research all the topics that I saw on the screen. Still a good learning experience but put more responsibility on me to learn the topics.

By Edward J

Oct 20, 2020

Interesting course but I wish there were more opportunities to add code myself or even a proper task. I was sad not to have videos from Romeo. However, I thought that the explanations of the different deep learning models were very clear.

By Alessandro F

Apr 5, 2021

Quite a basic course, you don't get to learn much of tensorflow. This is an introduction to some deep learning models, the content is clear and the course it is well-structured, but it does not go very much in depth.

By Julien P

Jun 18, 2020

Excellent notebooks. I don't give 5 stars because the quality of videos could be improved and the quizzes could be made tougher. It is easy to pass the class with a superficial understanding of concepts.


Jul 25, 2020

Nice course to introduce you to more advanced neural network algorithms, I wish the evaluations were more challenging and based on practical exercises... there is no final assignment either.

By Hrushit J

May 18, 2020

It would have been nice if the video tutorials would explain the code section as well, and if there would have been some in-depth teaching of the code part. But this course did benefit.

By Jesus M G G

Jan 24, 2020

Videos are good, but the code is more complex than other courses and it needs better description of what is happening, or less complicated code

By Ronan C

May 15, 2020

Good an simple videos to understand the concept. The notebooks are very detailed and give a second layer of knowledge with practical example

By CliveEmary

Oct 5, 2022

Videos are good. Lab notebooks are a bit stale (still on tensorflow 2.2), so there are few wrinkles in getting them to work.

By Xiaoer H

Jun 30, 2020

The course concepts are not in-depth enough, and the server for Jupyter notebook running is way too slow...

By Tariq J

Feb 24, 2022

I expected some more explaination for the concepts. However from tensorflow website, more could be learnt.

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 Javier R

Jul 17, 2020

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

By Bakare K

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.


May 26, 2020

some questions are a bit confusing

By Bhaskar N S

Apr 4, 2020

Met expectations