this is by far the best course of this specialization, even tho i'm more into Computer Vision, but this course was by far so great and helpful to work on sequences and time varying data, really appreciate the effort.

This specialization provides great insight into Tensorflow. It would have been nice to see algorithms mentioned in the Deep Learning specialization, such as the YOLO algorithm, implemented in the Tensorflow framework.

I quickly learned a lot about how to represent time series and sequence data for prediction tasks, and how to combine different deep learning techniques together to get high-quality predictions. Another great course!

T​his course is very good, unfortunately this course not a programming assignment so many others for material but i am satisfied because this material can i keep to more learn about Machine Learnig with Tensorflow

Excellent course. Till now i could not imagine how to use machine learning in time dependent data. This course will help me a lot in this regard

I would like to thank Laurence Sir

and a Special thanks to Andrew Sir

Thank you for building up this awesome course, I'm finishing my final university project and this courses have been really helpful for me to add great information. I already bought the Laurence's book. Thank you!

I love how comprehensive the material, in just one notebook you can derives everything that you can learn start on how to tune and improve machine learning models in and out. Great mr.Laurence, keep it up.

I am really excited about learning deep learning with Laurence Moroney in this specialization.

Thanks to Coursera for this specialization

I am now looking forward to doing exciting projects on Deep learning.

Dear Professors Andrew and Lawrence I have learned a lot.

Thank you very much for all the generosity you have to share the knowledge. Thanks for this little walk through all those deep learning techniques.

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.

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.

Really like the focus on practical application and demonstrating the latest capability of TensorFlow. As mentioned in the course, it is a great compliment to Andrew Ng's Deep Learning Specialization.

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

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.