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

4.8
stars
19,167 ratings

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 deeplearning.ai 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

AS

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?

JC

Dec 30, 2020

I just can say that it was an awesome course. The instructors as well as the contents were clear, easy to understand and everything with a focus on how to take the theory and apply it with TensorFlow.

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76 - 100 of 3,927 Reviews for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

By 毛昊

Jan 5, 2020

excellent course

By Georji G

Jan 5, 2020

Great content

By Hadi F

Jan 9, 2020

Very good!

By Mike P

Dec 31, 2019

The course offers a great introduction to TensorFlow methods for handling data, training models, and inferring results. Two things could be enhanced, in my opinion:

1) A better estimate of the time required to read the materials and do the exercises (the course takes less time than stated).

2) More in-depth explanations for certain parameters (although it could be argued that you should just follow the other deeplearning.ai specialisation for that).

Overall, though, a great crash-course for getting started with Tensorflow!

By Hao H

Jan 5, 2020

I took this course after taking deep learning ai CNN course. I found this course complement the other course really well.On itself, it is a little thin on theory size, but if you have already taken the other course, then this is a great consolidation of the material.

By Arkady T

Jan 4, 2020

It take some time to change the code and run examples from this course with TensorFlow 2.0 locally on my computer. Today TF 2.0 is state of the art and required in practice. Please rewrite code for TensorFlow 2.0

By Ryo M

Jun 8, 2023

TensorFlowのイントロダクションとしてかなり使える。ただし、機械学習の数理やアルゴリズムの詳細はほとんど触れられないため、「なぜこれでうまくいくのか」というところはかなりぼんやりとしている。「TensorFlowとKerasでどのようにモデルを構築して学習させるのか」というところに重点が置かれている。数学とかほとんど分からないけどAIの世界を見てみたいという人にとっては非常にオススメ。

By Kumar N S

Jul 5, 2019

More or less the course takes on Tensorflow's implementation of Keras rather than Tensorflow native env. It also only focuses on computer vision domain. Kind of misleading course title.

By yuan j

Aug 12, 2020

Learn a lot of tensorflow basics, which is good. However, the course is very short and easy to complete, and I cannot apply the neural network learned in this course to actual work

By Guillaume G

Apr 23, 2019

Ce cours balaye les fonctions de bases de la librairie d'abstraction Keras et permet de construire rapidement des réseaux de neurones complexes.

By Rudresh M

Jan 7, 2020

When each layer visualization was taught, I didnt get that part nor in the program. Else its a great starter course

By Lu A

Apr 23, 2019

It's relatively simple course if you've already finished Andrew Ng's deep learning specialization

By Bhabani D

Jan 5, 2020

Great introductory course to learn the application of TensorFlow with Keras.

By Saravanaram

Jan 1, 2020

Great course, but can be completed shortly instead of many weeks session

By Hakesh K

Jan 5, 2020

Amazing way of putting all the stuff together

By Muthiah A

Jan 5, 2020

Useful start for practitioner.

By Rushikesh W

Jan 4, 2020

Good practice for coding on tf

By Henrik R

Jan 21, 2020

The course is ok-ish, as are all the other courses in the specialization. This review is for all the courses in the specialization. I have a general shallow overview of DL but wanted to learn about TensorFlow and about Keras. For this it provides a good overview. You could learn it from tutorials too but at least I benefit from taking a course, as it motivates me to finish. But, the material is very shallow and it is a shame that there are close to no graded exercises. The quizzes are super easy. And there is no capstone project. If I didn't know the basics before I probably wouldn't have understood anything. If you know a bit of DL beforehand you can easily take one course per day. The fact that earning the certificates unfortunately degrades the value of it. If you finish in a month (and therefore only pay for a month) I think it is worth the price, even if what you learn is not that deep.

By Ivan N

May 19, 2019

I think this is a great way to introduce NN to people that have never seen one.

But there was very little depth in this course. I finished the 4 weeks in an afternoon. The external references were at times way too advanced, while the exercise code was way too simple. That being said, the Jupyter notebooks were a great material and helped me start with NN really quickly. The MNIST dataset is brilliant and hank you for showing how to do it.

The reason why I gave 3 stars is because the MOOCs aI have done in the past were much more extensive and gave plenty of theoretical background. Some people might think that the lack of theory lowers the entry bar for students, but in my book that's a tutorial not a course.

Save yourself the $40 price tag and buy a book on the topic, there are plenty out there.

By Pedram A

Apr 2, 2023

I Expected more to gain from this course than what I gained. Although all martials, you'll learn on this course are essential but it does not have enough challenging practice/assignments to do.

Another coin for this course was the most of the code was written for you before and I didn't know which part of code to focus on more.

Since it's an Introduction!! My expectations may be wrong. But this is not a beginner course to start with and I hoped the instructor would have defined a pretty strict level of knowledge for someone who is taking the course, the way the instructor wants to cover all levels to attain the course just makes someone like me bored and complicated for beginners.

By Alon L

Mar 19, 2019

Material is very well explained and very relevant but the course is short in comparison to other deeplearning.ai courses before and could be richer both in content and in exercises (which are also not graded)

By Rui P

Aug 27, 2019

Instructors, please take a look at the discussion forum and answer some questions. It would save students a lot of time. The content of the course was overall awesome though.

By Xiangzhen Z

Aug 17, 2019

Each video is a bit too short. And the assingment can't be smoothly finished and submitted due to environment issue. The creator should try to improve the user experience.

By Volodymyr L

Sep 13, 2020

A very basic course, but it doesn't give you any fundamentals - just gives you a chance to recall keras API better. You'll be much better off doing cs231n, which is free!

By Ranjan D

Aug 22, 2019

The course was good enough on the high-level perspective but was expecting pure TensorFlow based implementation of the models instead of using the Keras high-level API.