It's a highly helpful introductory course to learn fundamental of application powerful deep learning models with tensorflow in time series, and the lectures are clear with interesting exercises. thank you.

Laurence and Andrew have developed a fantastic course to get your feet wet with TensorFlow. I thoroughly enjoyed all of it and learned a great deal. Cannot wait to see what new courses this team release

This is a great course. The lecturer uses a simple way to introduce time series data and how to deal with these data. From this course, you can learn techniques to build models for time series data.

I really enjoyed this course, especially because it combines all different components (DNN, CONV-NET, and RNN) together in one application. I look forward to taking more courses from deeplearning.ai.

I really love this course. It's really easy to understand and systematic. please create more course about time series forecasting. Thank you very much. I've learned a lot of things from this course.

Great course! The notebooks were a great help for understanding the material. I only wish there were auto-graded notebooks in addition to the quizzes like in some of the other courses by Andrew Ng.

Coming from a background of knowing Deep Learning and theory of Time Series, this course was extremely helpful in understanding the practical aspects. I would recommend you take a course as well

Very interesting and well-structured content presented from an enthusiastic and likeable teacher with a profound knowledge. Good quizzes and in-depth exercises. Thank you for this great course.

Laurence Moroney is the best. Before taking up the course, i didnt know anything about the AI or ML or Tensorflow. The concepts were explained in such a manner that anyone can learn Tensorflow.

Its very interesting, thank you Lawrence and Andrew. You both have brought me to a wonderful world. I hope I can continue to more explore, more learning, and more practice to this new world. :D

This is a very suitable course for those of you who are new to machine learning, because after I took this course my interest in machine learning has increased. especially CNN computer vision.

The course is easy to follow and focuses on how to implement theoretical concepts using tensor flow. The way Lawrence approaches the sessions makes it really interesting and fun to learn!

Brilliant end to a brilliant series.

After taking this, one is well served to visit the DeepLearning.ai channel on YouTube and look at some of the more in-depth explanations of e.g. LSTMs

Great course for review and hands-on practice of RNN/LSTM/DNN after AI specialization (Sequence Models). However, without background of DL (sequence models) it's a bit hard to catch up.

Good introduction to time series (or a recap). Much more applied than the previous courses. If considering only 1 of the courses in this specialization I would do the time series one!

The course is overall amazing, the notebooks and videos given go hand in hand to build student's understanding. However, the video sound is too soft, using high volume is recommended

Great introduction to Time series forecasting using neural networks. I liked the journey from statistics-based approaces to DL. And the application to sunspots was very interesting

An exceptional course design to enable practicing with ready code and teaching what actually runs in LSTM / DNN models. With this momentum, anyone will continue on another course.

This is probably the only course worth taking in this specialization. The first three were very basic while this one really went a bit deep. It was really fun taking this course.

Great course with good in-depth knowledge of implementation of Tensorflow in sequence models. thank you for the courses and I look forward to complete more courses to learn more.

Really enjoyed the course. I think the content and style are both concise and spot-on to get the key materials. Learning more is up to the students. Thanks for all your effort!

Excellent course, I loved the final sunspot activity forecasting project because I learned about the steps that one should follow in order to get towards more accurate models.

I really enjoyed it. This is exactly what we need as the first step of machine learning in patice, to see it in action. I am going to dive deeper into Andrew's specialization.

It really help to start using tensorflow in the time series prediction data, i was hopping at least one example of multivariate data, but other than that it was really helpful

Precise and to the point introduction of topics and a really nice head start into practical aspects of Time Series and Sequences and using the amazing tensorflow framework.