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

4.7
stars
3,834 ratings
616 reviews

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.

OR
Aug 3, 2019

It was an amazing experience to learn from such great experts in the field and get a complete understanding of all the concepts involved and also get thorough understanding of the programming skills.

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501 - 525 of 616 Reviews for Sequences, Time Series and Prediction

By Javier A

Sep 30, 2020

I would add some code assestments and challenges as requested for the previous courses.

By Akshay s

Jan 25, 2020

This is just univariate time series . You should also teach multivariate time series.

By rajesh t

Jan 12, 2020

need to be more advanced, with realistic data and problems. Do not use textbook data.

By Alice M

Dec 8, 2019

expand on why you choose certain code. add more references for learning python better

By Bobby J

Sep 1, 2020

Nice practical course. However, it doesn't cover multivariate time series prediction

By MD. N S N

Sep 17, 2020

If the sound quality is more loud & clear then this course becomes more fantastic.

By Wan N

Jun 20, 2020

This course is interesting and I have learned a lot of staff. Thank you, Laurence!

By Dr. W G v d S

Apr 30, 2020

This is a really good introduction into the time series and sequences prediction.

By Neel A

Aug 31, 2020

The optional exercises should be graded, it was fun there, rather than the quiz!

By Md S H C

Aug 17, 2020

Overall a good course. Would be a 5-star if there were some graded assignments.

By Azazul I

Aug 24, 2020

graded programming assignments and variation in examples should be imported.

By Abhishek M

Jul 19, 2020

Great course!! However, there are some question that were left unanswered.

By Rob S

Sep 4, 2020

Probably the toughest course that could have done with more explanation.

By Sai K K K

Jan 11, 2020

Concepts and Importance of Fine tuning the parameters well explained!!

By Pak S H

Aug 30, 2019

It will be better if there is also a multivariate time series example.

By Hemali R

Aug 23, 2020

Very good! Good if you showed us how to work with our own data set

By Mukul A

Jul 7, 2020

A few bugs present, but overall a good a course and specialization

By Gerardo S

Dec 2, 2020

I would have liked if they were more explicit about window sizing

By Devwrat N

Sep 30, 2019

Every step in programming should have been explained in detail

By Ozora O

Jan 2, 2021

If this course has any coding problem, getting better.

By Apoorv T

Aug 24, 2020

Good course, but want to learn more in time series

By Walter G

Nov 25, 2019

Would prefer some comments in the colab notebooks.

By Manas M

Jun 28, 2020

Need multivariate time series real world examples

By Aanal S

Jun 2, 2020

Liitle bit theoritical explanation is necessary.

By Jbene M

Aug 3, 2019

I have learned something. But it still too easy.