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.

Great introduction to TensorFlow. Very broad coverage of the tools available in TensorFlow for Machine learning. Everything you need to get started on your first project!

Short, concise, and practical. But maybe, it'd be better if some more practical examples are addressed that clearly shows the power of the (CNN-)LSTM model over DNN.

very resourceful course indeed, learnt a lot about the workflow of model development with time series datasets, and how to make trade-offs on hyperparameter tuning.

Great courses! Please do not evaluate this course as it is ! You need to take also the ML and Deep Learning previous courses before find the real taste of this one!

Thank you Laurence sir and Andrew sir for putting together this course. It gives a good foundation to learn more about deep learning and its numerous applications.

Fantastic course, starting from basic fundamentals of statistical forecasting to using Convolutional neural networks. I will use my learnings directly to my job.

Great courses made by great people. Every course shows how to nicely handle practical problems that need to be solved when implementing Deep Learning algorithm.

There should be more explanation on why the convolution layer was used in the time series predictions and an explanation of time series data generation code.

Quite interesting and useful course. I wish there is more theory on LSTM embedded INTO the course, and not given as a reference to another course. Thank you!

The practice problems could have been a bit more rigorous. you may think of prediction of stock prices as an exercise. Thanks a lot for this specialization..