It is such a well designed course. It gave me the understanding i need to write my own ML code. The assignments are not super challenging, because of its introductory level, but I enjoyed how Laurence not only focused on the code but in making us understand the importance of the values and parameters and encouraged us 'play' with the code to get better understanding on how to design ML models.

If you just make this Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Course you can manage to make a few simple codes.

This introduction complements very well with Deep Learning Specialization. In case you have done the specialization, this course will give you the first steps so you can start programming and learning for more complex applications.

Great course for starting the implementation of classification model on Keras. Although more detail into theoretical part should be found from other courses or materials, this course definitely provides the very first step in the coding part. For me, with little prior knowledge in python, I did learn a lot by studying the Notebook sample code carefully. So I will recommend this course!

If you're looking for a more theoretical approach, go take Andrew Ng's Deep Learning Specialization first. This course is more of a crash course based from what Andrew has already discussed, and is heavily focused on hands-on application using Python. The course will encourage you to experiment and understand the impact of different parameters in your model. It's fun and challenging.

The learning process is very explanatory and very easy to understand. the course has many quizzes and programmable problems which allows the learner to get a clear view of how to work with TensorFlow. the course also provides various notebooks where you can experiment by changing the values of variables and see the effect of it in the output which in turn makes the learning valuable.

I am planning on taking TensorFlow certificate, so I finished this course in 5 days. Glad I did that as I did lean how deep neural nets and convolutional neural nets work! I am still in the beginning of my path, so I will keep working hard to finish all of the other courses in order to achieve TensorFlow certificate. Thank you, Laurance and Andrew, for the amazing beneficial course!

Elegant and efficient introduction to the plug-and-play Google Colaboration application that let's you easily write and execute Python code in the cloud, as well as the Keras API that let's you access the Tensorflow package to use with convolution and pooling layers. The exercises were brilliant as well and I have high expectations about the following courses in the specialization.

A quiet interesting course that introduce you to TensorFlow, and gives a basic understanting of image processing in Python. The course was well organized with explanatory videos, code scripts in google collabs, and necessary assignments to practise your code skills. Overall I am very pleased that I attended this course, and I am planning to attend more like this in the near future

I found it an excelent course but let me do some sugestions.

I think it will be usefull add an introduction about what are images ( computational speaking), how is represented in the computer memory, and why we have to do some work with np.reshape, np.expand_dims, np.clip, np.vstack and so on to feed the images to a neural network.

Many thanks for provide such excellent course.

Concise and cohesive course, and was very easy to follow! It was nice to see both the theoretical and practical concepts explained in a manner that a beginner such as myself can understand. They provide many other resources in case I get stuck or need further explanation as well. Thank you for a great introductory course, and I am excited to learn more in the future courses.

Great intro by Laurence, very comprehensible. But i think a bit more work should have been done on presentations for deep learning newbies for them to be able to grasp the concepts of difficult topics like convolutions.

Though i would recommend anyone to first complete Andrew Ng's deep learning.ai specialization first, then start this course, it would be really beneficial.

I think this is a great introduction to Tensorflow 2.0 as a whole. What other reviews may say is that they didn't go into much of the theoretical aspects, yeah that's fine after all this is a course that is meant to be practical by all means. For people who've already taken Andrew's Deep Learning Course for example.

I think the instructor has done a great job! 5 stars!

Liked the course as it did not spoon feed you the answers and you had to go back and watch the videos again to attempt the programming assignments. Overall it was fun learning tensorflow. I am very excited for the next course in the specialization. I would encourage people to do the entire specialization because this course alone wont teach you much about tensorflow

Excellent training with a great breakdown of the material at a SME level with links to additional more in-depth information...very little deprecated code, self-contained development environments within the course for training and testing through CoLab, and GitHub links to all the resources made the material instantly applicable, and relevant to my current goals....

This course is helpful to understand how to create basic deep learning networks and models using library TensorFlow. I understood the implementation of deep learning models using developed python library. But you should have basic knowledge of deep learning before starting the course otherwise you won't be able to understand fundamental concepts used in this course

Quick, Informative, Intuitive and Interactive is a few of the nice things you can say about this course. As someone with background in theoretical AI but not a lot of practical practices, this was such a useful study. I recommend all you academics with MScs and Bscs to finish this course. Of course it always help to brush up your Python skills prior to the course.

It was a great experience, learning the foundations of neural network. Now I have a clear vision, how artificial intelligence works. All thanks to Lawrence Moroney and Andrew NG, with all their experience and expertise they have in their field, they explained each and every instance where a person could go wrong. Great course I would definitely recommend everyone.

I am a programmer with a little knowledge of statistics. Other courses really dive into the theory and I get lost pretty fast.

This one however just teach you how to use the existing AI libraries without digging deep into how they work and what algorithms they employ.

It was pretty easy for me to follow through with this course and I'd recommend it for any beginner

I want to say a huge thank you to the whole team that developed and maintains this course!

Throughout the course, complex concepts were always easily explained and worked to consolidate the acquired knowledge.

Visualization helped to better understand the concept and principles of work.

An excellent course to get acquainted with neural networks and deep learning!

This is a great course to get introduced to Tensorflow and neural networks. The material is presented very well with very good and thorough explanations, and the lab materials are diligently designed for students to work through examples and get a good learning experience step-by-step. Overall I find this course to be an ideal place to start with Tensorflow

Fun introduction to tensorflow. This course is best if you completed the deep learning specialization before it this course doesn't go into the details of how everything is working under the hood.

The structure of the course is well done with plenty of opportunities to practice.

There are still a few rough edges to smooth out, but all around really great.

I have completed more than 80+ MOOC from various platforms and many reputed universities and I must say, Laurence is one of the best teacher(s) I came across. The way he teaches (which includes topic content, explanations, and converting complex concepts into simple one) is simply unparalleled.

A BIG THANKS to him and everyone associated with the course.

A very good start for tensorflow beginners and a concise refresher for those who have already used the tensorflow framework. Loved the way each code was explained but particularly found the part where we can play around with what each filter is learning as particularly important for anyone going forward with this course. Thanks for this great material.

I'm very glad to finish the Coursera course Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. This course taught me a lot. I learned how to create a convolutional neural network for image processing using TensorFlow. Laurence Moroney and Andrew Ng, thank you very much for the great information you provided.

The course was great. However, the programming assignments sometimes didn't have details. Like in one assignment we had to use the reshape() method, but there was no instruction about it. I basically tried it by seeing some errors and from my previous knowledge of Deep Learning practice. Such clarifications should help the course get better remarks.