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Learner Reviews & Feedback for Sequences, Time Series and Prediction by DeepLearning.AI

4.7
stars
4,953 ratings

About the Course

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Top reviews

MI

Jun 6, 2020

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.

JH

Mar 21, 2020

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.

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76 - 100 of 781 Reviews for Sequences, Time Series and Prediction

By Syed A A

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Aug 25, 2020

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.

By Surya K

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Apr 5, 2020

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.

By Rishi G V

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Sep 1, 2019

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

By Rana A

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Apr 12, 2020

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.

By samina y

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Mar 27, 2022

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.

By Rodrigo R C P

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Jun 13, 2020

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.

By Mario T

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Sep 19, 2019

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.

By Aroua G

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Dec 28, 2019

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.

By Richard D

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Aug 31, 2021

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

By Bilal B

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Feb 4, 2022

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.

By Tibor K

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Sep 11, 2020

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.

By PRANAV S D

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Oct 3, 2019

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.

By Dmytro C

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Aug 11, 2023

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.

By Petyo P

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Apr 17, 2020

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.

By Rehan U

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May 12, 2020

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✌✌

By Ibrahim O

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Sep 3, 2019

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.

By Louis C

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Aug 13, 2021

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.

By Alfredo C

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May 9, 2021

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.

By MD. A K A

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May 5, 2020

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.

By Tharindu B A

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Aug 15, 2019

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!

By Carlos V M

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Oct 6, 2019

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.

By Yanyun H

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May 13, 2020

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.

By Priyank S

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Nov 9, 2020

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 !!

By Nitish T

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Oct 3, 2019

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.

By Ali A B

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Jun 24, 2022

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.