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Learner Reviews & Feedback for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by DeepLearning.AI

15,397 ratings
3,221 reviews

About the Course

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Top reviews

Mar 8, 2019

Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?

Aug 13, 2019

Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.

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3126 - 3150 of 3,212 Reviews for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

By Dylan R

Apr 24, 2019

Too easy, notebooks gave away answers

By Oussama B

Jan 19, 2020

More details in explanations please

By Aditya

Apr 22, 2019

Great course, but needs more depth.

By Reza Y

Mar 30, 2019

Forum is not supervised actively.

By Svante K

Dec 27, 2019

Nice to do more hands-on tf.

By Enyang W

Nov 6, 2019

too easy, which is not good!

By Swarnadip B

May 14, 2019

became too complex and fast

By Muhammad A B

Oct 12, 2020

lol it was hard haha

By Udit G

Apr 1, 2019

Very basic Intro.

By Itai

Jan 4, 2021

Little bit easy

By Nikola R

Aug 9, 2020

Week 4 is weak.

By Siddhesh D

May 22, 2020

nice Content

By Masoud V

Aug 19, 2019

Just good

By Javier P

Jul 21, 2019

too basic

By Thomas A

Jan 21, 2020

Too easy

By jiwon c

Nov 18, 2019


By Madeline C

May 5, 2021

The content was pretty good, although I didn't feel like it added much that I didn't learn through's Deep Learning courses taught by Andrew Ng. There were a few interesting details specific to Tensorflow, but overall I felt the course was just information that could be found on Tensorflow's documentation--I did not feel guided through the process (but I realize that's more of a personal opinion).

The reason I am giving only 2 stars is that some of the homework assignments were poorly explained, leaving me confused about how to complete them (especially the very first assignment). Some of them were not updated, and other students had issues with this as well, because they wrote about it in the forum. Some of these issues raised in the forum were never addressed, but have just been sitting in the forum for months and even years. I think this is very unprofessional if you are going to take someone's money for a course. There should be more of an effort to update the assignments, clarify them--or, if you aren't going to offer guidance in the assignments themselves, then you should have someone actually responding to people's questions in the forum on a regular basis.

By p.w.ouwehand

Apr 2, 2021

2.5 stars. While the Andrew Ng’s Deep Learning Specialization was a great introduction, this TF Developer Professional Certificate was not on par, and I’m afraid I persisted mainly for the not-very-good reason of getting the certificate...Not a complete waste of time, however, as it does provide extra exposure to tf, though almost exclusively through the keras Sequential api. To pass, you need merely pass the quizzes, and those are really poorly structured. There are no graded coding assignments. There does not seem to be must mentor-activity in the forums, and a number of people have noticed possible coding errors and inconsistencies which remain unresolved.

Added later: I really recommend having a look at Coursera's "Tensorflow 2 for Deep Learning" specialization, which is offered by Kevin Webster at Imperial College. In my opinion, this course has a much, much higher standard.

By Cordula G

Jul 19, 2019

I took the Deep Learning Specialization before (which admittedly set a very high standard) and expected this specialization to be similar, just more focused on Tensorflow. I couldn't have been more disappointed. Explanations are very shallow, and I totally missed the well-thought-out programming exercises. Here there are just notebooks with some missing parts that you have to fill in, without any explanation. You just copy over the code from the lectures, and it works, and you have not learned anything. A sneak peek at the next course shows that this seems to be organized in the same way. Luckily I finished this course within the 7-days trial...

By patrick o

May 12, 2020

I can't believe I paid $49 for this and knocked it out in <2 days. I now know how to copy-paste lines of tensorflow to do some very specific things. It's fine to not go in-depth on the math and everything behind the scenes if you instead focus on practical application, but this course does neither.

For a glorified tensorflow/keras tutorial, I would hope that after the course I would be able to build my own models, but I honestly know how to do nothing outside of the 6 lines of code I copied from the videos, and I don't even know how those lines work.

By Aleksander W

Feb 6, 2021

Disappointing course. It is an introduction to high-level Keras API and better be called this way. For anything else it is not useful. An introduction to AI, ML - really? :) It does not explain how do neural networks actually work and what is going on when fit() is called, etc. How about about gradients, optimizers, activations, etc? Only convolutional networks are properly explained. Labs are copy-paste from slides and zero thinking. I would better not comment on the quizzes.

By Roberto E M C

Apr 23, 2020

The course does not goes deep (not even close) into explanation, and many topics/methods are just mention. Per se, that is not bad if you could use the forum to get the answers of the questions that arises. However, that is not the case for this course, where most of the questions are unanswered.

Moreover, there are many bugs/typos/mistakes in the given code. And because the staff does not answer the forum's questions, you are not sure if they are really bugs or not.

By Filipe J G d S

Mar 19, 2021

Very very very superficial course, both on the theoretical part and on the practical part.

The theoretical part is almost none. Each week you will have like 2 minute video explaining the NN that you will use.

The practical part is also very superficial because the only thing that you do is calling functions from Keras.

Don't recommend this course to people that already have some (very little) experience with tensorflow/keras. Recomend it to newcommers

By Utkarsh S

Feb 11, 2020

Jupyter notebooks and video explanations have many issues (for example: - where fundamental terms like "accuracy" and "loss" are mixed up). Considering that many people who will be taking this course may be beginners, such mix-up can really affect what they learn and how they approach Deep Learning.

By Aman G

Jul 7, 2020

Many in the course were just taught superficially. No in depth clarification of things was given according to me. Rather I would recommend to check out Imperial College London's course "Getting started with Tensorflow 2" course which is awesome. There are 2 courses in the specialization, I have mentioned first one of them check out other(s) on your own. Happy learning.