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.

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!

Fantastic explanations and techniques to use CNN and RNN to predict time series, I learned quite a lot by taking this course thanks very much to everyone at Coursera, Google and DeepLearning.AI that contributed to this excellent content.

Awesome course and amazing introduction to the time series predication using machine learning. Look forward to future more courses into more complex data scenarios. One of the best instructors I've had on Coursera. Thank you, Laurence.

This course provided an idea about the time series analysis with DNN's, LSTM's and CNN's which is a full package in learning neural networks. Instructors were very good and explained each and every code very thoroughly. Thank you !!

The best introductory course on Sequence Models. I was intimidated by this topic before taking this course. Now, after training LSTMs and RNNs by hand, I am more comfortable. Thanks to Lawrence and Andrew for such a great course.

It is amazing! If you want to know how sequnces and time sereis are implemented in tensorflow it is so vital for you to take the course. The course started with a simple example and then the example developed through the course.

It is really excited this course with so many nice different topics! Thanks a lot Laurence and Andrew for all your effort you have put on this course and moreover many thanks for transferring your knowledge in such an enjoy way!

after taking Andrew's Deep Learning, this course is a logical step in two sense: 1. you can practice more 2. you do not need to write everything that are already output there through packages like TensorFlow. Excellent course!

The specialization covers brief introduction to the concepts of Computer Vision and Natural Language Processing. It introduces to TensorFlow and gives a hands-on practical experience over the tool through simple assignments.

One of the best Specialization Courses In Coursera, Thank You so much Laurence for creating such a wonderful course and being such a awesome mentor and Thanks to Andrew too!! :) Looking forward to more such amazing courses.

The specialization was packed with best practice fundamentals and I appreciated the explanations and lab work. My only concern is the lack of business focused problem sets that might bring us more up to speed with industry.