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Back to Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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

4.7
stars
14,218 ratings
3,004 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 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

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.

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?

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2526 - 2550 of 2,994 Reviews for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

By Mrinmoy S T

Apr 26, 2020

The course was good. But, they are explained very briefly. I think, the video length could be increased for better understanding.

By Ana E H H

Jul 16, 2019

I learned a lot about image processing, TensorFlow and CNN.

The exercises are useful to practise the coding and concepts.

Thank you

By Tongxi L

Jul 2, 2019

good introduction, but only introduction is not practice, just classifier from tensorflow dataset is not helpful for real problem

By MSOUOBU G S L

May 23, 2020

Some comments weren't well adjusted.... Seems the team was a bit lazy during the last week Programming Assignment Documentation.

By Chaitanya R

Sep 27, 2020

Everything is good but can do better if the instructor can give a gist about the various functions being used like softmax, etc

By Vignesh N K

May 17, 2020

Really good introduction provided for tensorflow. A little more depth if provided for tensorflow concepts would have been good.

By helly j

May 16, 2020

Good course to start tensorflow if you have no prior experience. Content is nicely organized and gives a overview of the topic.

By Dimitry I

Jul 31, 2019

Nice course. Gives you and overview of building neural networks. Touches on many subjects, but doesn't dive too deep into them.

By Thomas M

Feb 1, 2021

Would prefer to build code from scratch every time rather than use pre built notebooks. Otherwise well paced and I enjoyed it.

By Глотов А С

Jun 15, 2020

The course is good for understanding Keras API, but lacks of explanation of what backpropagation is and other important stuff.

By Subhendu R M

Aug 10, 2020

This course is very helpful in getting a quick intro to the TensorFlow framework if you already know basics of Deep Learning.

By Maad S

Aug 22, 2019

The course is very well set for learning it give full experience of learning and the course instructor is very great teacher

By Saeif A

Aug 19, 2019

I faced many problem with the grader. Please fix it. You can see from the forum that are many people facing problem with it.

By Clay B

Jul 15, 2019

Decent overview, doesn't go too far in depth in anything - provides some links to deeper material but doesn't touch on them.

By Meet D

Oct 5, 2020

I learned overview of TensforFlow librarby and convoluation layer. Know about classification in computer vision application

By 曹杰

May 12, 2020

good set up of examples that allow you to go from the simple case to more advanced cases. a good start point for beginners.

By Dirk H

Nov 6, 2019

The class is good for persons who are new to Data Science and want a practical entry but does not go very deep into theory.

By YASH R

May 7, 2020

Week 4 was not explained as good as other. I still face the problem with the cocept of week 4. Rest everything is great.

By Shabab H

Jun 2, 2019

Week 4 was somewhat disappointing, spent a lot of time in boilerplate codes. Was expecting to learn more about ML ideas.

By Bishmer S

Jan 6, 2021

Brilliant introduction to the topic sadly let down by bugs and errors in the Jupyter notebooks.

Still well worth taking.

By Jayanta S

Jul 4, 2020

The course in itself was great and the exercises were easy. But the sound quality in the videos should have been better

By 고종경

May 7, 2020

this lecture provides a good starting for learning Tensorflow.

there are good exercises with doing actual python coding,

By René P

Apr 16, 2020

Had some problems with the automated graders. I had to remove two JS cells from each exercise to get a correct grading.

By Mayukh S

Oct 13, 2019

It has more of keras and less of tensorflow. The course structure is good. A little knowledge of CNNS would be helpful.

By Matthew

Sep 29, 2019

Good intro to Neural Networks, but would recommend going through other Machine Learning courses if a complete beginner.