I learned a lot about how the simplest networks can be implemented using Keras and TensorFlow, then I learned how to use this tool to build simple classifiers than can do a binary classification or multi-class classification task. Hope to learn more in this specialization!

Good for Introduction to TF as a powerful tool. Learn't lots of new stuff. Perfect addition to the Deep Learning Specialization by Andrew Ng. Loved the short 1-on-1 discussions between Laurence and Andrew. Looking forward to more cool stuff to learn in the other 3 courses.

Really impressed by the work of the team. It is designed specially for the beginner to advance their career and be expert the emerging AI field. With the help of high quality videos and project based assignment one become expert hoe to deal and tackle real world problems.

I think it is a great 'light-weight' course on how to use the TF framework. Laurence does not cover the theory behind because Andrew covered them in other courses. That means that a person taking this course should have some basics about the parts that run under-the-hood.

I like this intro class very much. I have some training before and I took Andrew Ng's Deep Learning Certificate. This intro course is not necessarily hard, but it actually covers quite a few areas that were not emphasized before. I highly recommend this for other people.

Very nice introduction to Deep Learning in practice. However, I personally believe the student who should take this course must have a solid background in order to understand the concepts and the effects caused by the changes made, since they are very lightly presented.

It was easy to follow up all the lesson because of the way the course has been structured. I even tried in other places to learn tensorflow but i was not able to continue after few days. but this structured course was the best. I am confident about the knowledge i got.

Course is a very well-structured introduction to Tensorflow as tool for building neural networks. It's easy to follow and has good template colabs that are understandable and easy to build skills and understanding of more and more complex features of Tensorflow easily.

Excellent course! I highly recommend (as Andrew suggests) doing the Deep Learning specialization first, so that you learn what's really going on. This course is great as a follow on to help you learn how to do the implementation of the concepts taught in Deep Learning!

Great course. Easy to follow. The example problems are very valuable. I felt the course was a little short compared to the other courses I have taken on Coursera. Nonetheless, it is a very good course if you want to understand how to code using Tensorflow framework.

The course is very understandable because it has very well explained by the professors.

Before making this course, I would recommend studying some of the Deep Learning Concepts on other courses, but you will understand most of the course even if you haven't studied.

TensorFlow provides pre-built functions and advanced operations to ease the task of building different neural network models. In this course, I was able to explore, learn, and implement these ideas and thus enhance my understanding of neural nets. It was quite fun.

The course is wonderful. I really love the way it is being thought here; from the videos, to the tests, then the notebooks for assignment(s), and finally to google co laboratory, every step seemed properly calculated to ensure that learning gave the best experience.

A very accessible course and very practical as well. I would recommend to study a course like Machine Learing by Andrew Ng as well to get a better understanding of the foundations of neural networks.

Teaching is great and the materials worked flawlessly. Many thanks!

This is an introductory course focusing on TensorFlow so I think the course designer makes a good balance between fundamental knowledge of machine learning and the Keras tool. It also starts with simple codes and gradually adds complexity. Well done deeplearning.ai

A​ gentle and good introduction to deep learning. It would be better if a learner is following some deep learning lectures around (can be Sir Andrew's,MIT,Standford or any other). Digital Image Processing knowledge can help a lot here and we can see DIP in action.

Excellent course to start Deep Learning with TensorFlow. Step-wise brief description gives good insight about the subject which help in building up minimum understanding required. Thank you Andew Ng, Laurence Moroney and deeplearning.ai for this wonderful course

Extremely good beginner's course on ML. Course deliver what is says it would perfectly.

Really practical as well since we immediately deal with code after getting done with the concepts and technical jargons.

I enjoyed and learnt a lot from this course, Thank You.

This course gave me a great experience in learning tensor flow library for creating models by training the machine using data. In general I enjoyed doing this course. I strongly recommend this course to other learners if you really want to learn tensor flow.

From this course, I learned about how to use TensorFlow to built convolutional neural networks for image recognition. I love the course and it was a wonderful experience for my learning process. I am grateful to your help that I got the Finance Aid.Thank you!

This course could lead you in a few hours to build a fully advanced classifier using TensorFlow and Convolutional Neural Network. It is purely practical which I was looking for after Deep Learning specialization. Well prepared, all coding and was lots of fun.

Really loved taking this course. The clarity on every explanation given by Laurence on this introductory course is phenomenal.

Laurence and Andrew - Thank you for inspiring millions and bringing in online learning to a whole new level.

Thank you,

Jayadev Bhasi

This course is a very practical into to ML with TensorFlow, it focuses on live coding examples rather than a lot of theory. I highly recommend it especially if you have ML background and just looking to refresh your knowledge and explore TensorFlow and Keras.

Finally, a course that describes step-by-step how these networks process the data. The instructor was warm and likable. The notebooks contained documentation that aligns with the lecture. I plan on taking this course again to further concretize the learnings.

The instructor has great humour which makes learning very fun and great. The focus of the course was on implementation of concepts using Tensor Flow rather than on the mathematics behind them. I would totally recommend this course to beginners in AI and ML.