Thank you for a great set of courses! I really enjoed working with real datasets and being able to find out for myself how they worked. The content was at the right level for my Python programming ability and the Google Colab and Jupyter notebooks provided an easy place to learn.

Thank you so much for providing such a great series of courses! It makes more sense as i've started from Machine Learning, Deep Learning Specialization and this TensorFlow in Practice Specialization. I'm happy that i've taken this course. I would expect to see more of the course.

I really enjoyed this one. The content on time series was good and I love TF2: it makes life so easy! I have done all the other courses from Andrew and at the beginning thought that this was was not going to help much. I'm really glad that Andrew and Laurence proved me wrong. :)

Fantastic hands on introduction to using tensorflow and resoning with it using various approaches. An amazing starting point. Should be used along with the deep learning specialization course though in case you are interested in learning the fundamentals / maths a bit better.

Mr Laurence and Prof. Andrew Ng are one of the best mentors in the world with such an excellent,well framed, easy to grasp content that enables a beginner to grasp concepts and practices of such great frameworks of Deep Learning easily and provokes to learn more and more...

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.

The "smaller" concepts in the videos were really the good stuff. Such as why MAE or Huber loss is better in some cases than MSE. This course was a little too "easy" since I had experience with PyTorch framework. I would recommend this course to early intermediate people.

It is really an amazing course, Which gives me an core understanding of an Sequence, Time Series and Predictions concepts. Thanks for these beautiful course and especially my heartfelt thanks to our beloved lecturer Laurence Moroney and Andrew ng for these great platform

I deal with time series quite frequently in my job and these techniques would be an interesting addition to my toolkit to get more meaningful inferences from that data. It is amazing how easy Laurence makes application of all these techniques and concepts in Tensorflow.

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.

I think the goal of the course was met and the practice and examples provided are very useful. Although, it would have been nice to learn about cross validation methods for time series in order to compare and select the best model architecture for our real world data.

Congratulations to Lawrence, great course. I did the other way: I fist went through Andrew's courses and then Lawrence's. I believe is best to have the theory on how DNN works, and then to to practice.

Thank you! I look forward for the new courses you will be offering.

Lots of good techniques and helper functions to work with time series. I wish there was more variety in the problems encountered (rather than prediction some time series classification for instance) but that doesn't affect the good quality of learning provided.

Really good course which gets you up to speed of time series prediction. It was fantastic for me as I have knowledge in most of deep learning but not recurrent neural nets. I picked up what was happening fast and it only took me a day to complete the course

It is really good, every mentioned aspect explained in detail. There are 2 Jupyter Notebook for each week which supports the implementation skills. Also whole process was very smooth, I realize that I completed course when I see congratulations pop up.

It was really refreshing to watch the recommended methods, but I think I have found a much better method for time series forecasting. In the next days I will compare what I have learned here with what I did by myself using Koopman operator based methods.

The concepts from Deep Learning specialization by Prof. Andrew has explained well here for Keras. I expected graded programming assignments from scratch. Similar material you can find on internet but here it is very well compiled, organized, authentic.

Thanks for such a cool course!

It allows you to combine knowledge from all past specialization courses and allows you to use acquired skills.

Beautifully structured from simple to complex. Incredibly easy to understand explanations of complex questions.

LOVE IT!

This course was a great investent of time and money. It was time efficient and gave a lot of information. I am fully motivated now to go into the Deep Learnign Specialization and to participate in futura specializations from these instructors.

It's been a spectacular specialization with lots of hands-on practice. This Specialization has been one-stop for all the things to learn from TensorFlow.

Thanks to Laurence and Andrew🤗.

Looking forward for learn more exciting things from you✌✌

It has been a great time putting time into this specialization there is still more to learn which I know you guys will always try your best to release more courses that will comprehend what we've learned in this specialization.

Thank you all.

Very clear explanations, no useless content, esay to use notebooks and a focus on practical implementation and use which is appreciated.

What's more, links to more theoretical content is provided, which gives a nice complement to the course.

Explanations are quite clear, and the examples are useful to understand how to apply different concepts. This course is helpful, after taking courses on deep learning and being familiar with concepts like LSTM, CNN, dense layers, and so on.

This course helped me to learn Time Series in the same way a machine learns from data. Without having much theoretical knowledge, now I can run basic models. Thanks a lot to deeplearning.ai team for proving such a practical oriented course.

This course is amazing and above my expectations! Very good exercises, good speed, well communicated. The instructor made me feel very comfortable and was able to take many things away. Excellent content and very knowledgeable instructor!