I found this course to be a great introduction to the wide range of features provided by TensorFlow in the context of (i) model serving (ii) sharing models (iii) tensor board and (iv) federated learning. It provided me with an opportunity to focus my attention on these topics, to form a holistic view of the subjects rather than randomly reading documentation on an adhoc basis. Keep up the good work and thanks for keeping the length of the videos short and concise.

I absolutely enjoyed the entire specialization and here's why - I find it easier to understand stuff with readable code and all of the courses in this specialization contain a ton of useful and effective code snippets. Besides that, the courses have tons of commentary about common practicalities.

¡Excelente curso! Recomendado para quienes quieren estar informado sobre los aspectos más avanzados y modernos de TensorFlow. ¡Recomendado!

Excellent course! Recommended for those who want to be informed about the most advanced and modern aspects of TensorFlow. Recommended!

Enjoyed the course, the balance between the quiz and the practicals well set. It gives you a ran of your money. Plus people who are helpful like Alexander Ivanov. Who helped everyone especially for the week 2 assignment. I learned a lot and will use it to my best interest to also help others. Thank you team. Maybe the mentors need to contribute more. It would add more value.

Another really good course by the instructor to end the course enlightening on the recent concepts of TensorFlow Serving, TensorFlow hub, TensorBoard, and Federated Learning. Kudos to the entire team for coming up with such a good course on advanced concepts.

Enjoyed this specialization as much as I did the Tensorflow in practice. Thank you Laurence Moroney and Andrew Ng for getting these cool topics to all of us, so we can contribute back to community.

Great work and I highly recommend this course/specialization! Good job of inserting needed edits to update what's happening in real time.

Very clear, the pace is right, content is very interesting and classes are engaging. What else is to desire? :)

ver good course to get first insights for orientation and later deep dives. I like it very much!

great course for utilities to enhance the training and deployment experience

Fantastic course, very recomendable for advanced TensorFlow applications!!!

Very practical and advanced topics taught in easily understandable way.

Many useful stuffs if you want to move for Tensorflow or AI Deployment

Awesome course for the using and application of Machine learning

Excellent course, thank you Laurence and Andrew!

Top Notch Great Code Samples.

Thanks for teaching this

NICE! Essential Stuff!

Dream come true course

I am extreamly happy

GJ

A very interesting course to complete Tensorflow deployment option. Most interesting part to me were serving, hub for transfer learning and tensorboard. Maybe Tensorboar could be introduce sooner in other specialization as it sound to be mostly use to discuss model performance, which is extensively discuss in other specialization. Federated Learning seems a little bit extra here, even though it sounds promising.

This topic seems to be very important but the content is not as good as rest of the weeks content, more explanations and more simple examples could have helped

This course covers some interesting topics but is far too easy to pass. The programming assignments are really just copy and paste exercises and takes very little time to complete. I found the applications exciting and as an intro to all the new elements of TF it is useful as a whirlwind tour. But apart from the tflite mobil device course which is challenging if you have never used swift/Xcode before it needed to be a bit more than just run throughs of the TF colabs.

In general course is quite useful, especially Weeks 1 and 2. However content for week 3 - tensorboard - seems artificial (especially logging confusion matrix in TensorBoard) and not related to deployment at all. And Week 4 has really great topic, however the content is very poor. The most useful are the links, for which I suppose one could just google.