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

4.7
stars
15,922 ratings
3,331 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

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?

RD
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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3176 - 3200 of 3,347 Reviews for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

By Wenyu Y

Mar 20, 2020

A solid course, but if you have already take the deep learning specialization by Andrew Ng, there won't be too much new stuff for you. Callbacks and ImageDataGenerotor are new things for me, but I think they can be covered very quickly.

By Nitish R D

Jun 3, 2020

The programming assignments are vague and should be improved. The course lacks explanation content. It's more of a 'Don't question, Just follow along' tutorial. However, what is taught is presented neatly and clearly by the instructor.

By STEFANO F P

Oct 12, 2020

I understand that now Keras is inside TF 2.0 but the name of the specialisation is quite confusing. Here you learn how to use the high level API Keras not just the lower level TF. Really easy course, finished in less than a day.

By Ayush M

Dec 8, 2020

Course Material not detailed enough and expected more from it. It does not contain enough variety in exercises and lacks a lot of concepts.

Anyone with good learning (and "overfitting") can complete 1 course in a day or two.

By jay u

May 26, 2021

The material covered was very good but the options for each function should be covered. Also the labs and quizzes don't always work are the technical difficulties on submitting a lab are more work then the lab.

By Mayur K

Aug 12, 2019

it was good but there is scope of providing more thereotical contents along with videos for the concepts beyond the scope of this course so one could get better familiar with the terms (e.g adam. cross entropy)

By Naman B

Jun 7, 2019

The course is very easy for anyone who has taken other deeplearning.ai courses. The course do has good and polished material but it is very small to be called as a course. Also there should be code based exams.

By Jose L A C

Apr 17, 2020

The theoretical concepts are too basic, the sample code to learn tensorflow are quite repetitive. I think the course should be much more dense both in DNN theory and in programming to worth the money.

By victor K

Mar 7, 2019

A nice intro but very basic. Would have liked not using the keras api to have fewer things abstracted away. Then keras is a nice convenience once you fully understand what it is doing under the hood.

By siddharth J

Jul 27, 2019

I felt the instructor is going too fast without covering the concepts of Neural networks, CNN and basics. Or maybe i need to take a supplement course for statistics and Neural networks by Andrew NG.

By Hasan E E

Aug 14, 2019

A very good introductory course, however the algorithms working under Tensorflow was omitted heavily. Some technical background on how these algorithms work would enhance the quality of the course.

By Stefano T

Sep 18, 2019

content and teacher are great!

google collab and the submit process is tedious because of the hidden restrictions (memory space, computation power) and the bugs of the exercise submission tool

By Vic H

Apr 7, 2019

Oveall, a good course. Very good program examples. One area for improvement: fuker, more detailed explanations for ech line of code (both in the videos and the comment lines within the code.)

By Mohamed A T

May 10, 2019

I was expecting an intermediate level course in which we learn how to create complex deep learning models using Tensorflow (and not keras).

the course is still great for beginners... I guess

By Udaya B S

Dec 9, 2020

Didn't like the exercises too much. There was just 1 massive function where both model building and fitting was happening. Difficult to test. It's like - everything works or nothing works.

By peilan

Oct 14, 2020

It was very difficult to learn anything from this course. I had to go through several TensorFlow tutorials https://www.tensorflow.org/tutorials before anything in this course made sense.

By Thomas B

Apr 9, 2020

This was a very basic course entirely solvable in a few hours. It gives you some insight how to use Keras in TensorFlow, and why convolution is a good idea. It was far too basic for me.

By Roberto F

May 22, 2020

Es un curso bastante práctico, se hace muy ameno y te engancha a seguir aprendiendo. Para ser un curso introductorio está bastante bien, aunque te quedas con ganas de profundizar más.

By Raffaello B

Aug 11, 2019

It's not easy to complete all weekly exam for a lot of kernel errors.

It is as a good starting point for TensorFlow, but is not newbie course in Machine Learning and Computer vision.

By KAUSHAL K

Aug 4, 2020

Prior knowledge of CNNs is required, instructor just walks through the modules, you shoild be prepared to learn stuff from the documentations on internet amd the sample modules.

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 Aniket C

May 9, 2020

The notebooks do not provide enough information about what block implements what. A simple comment that implement custom callback here would have made things lot easier.

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.