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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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726 - 750 of 781 Reviews for Sequences, Time Series and Prediction

By Alfian A H

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Apr 20, 2021

The sound keeps getting lower and lower but the materials is good. i hope you can explain in real data more than dummy data.

By Ghifari A F

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May 14, 2020

I didn't expect the course would be this easy and simple. But overall, this course is useful for introduction to TensorFlow.

By Muhammad E K

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Aug 31, 2020

This course lacks content, does not really teach much. Most of the time instructor just reads out code

By Sajal C

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Apr 7, 2020

More explanatory links can be given about different concepts. Other than that, course is fine.

By Gruppo M

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Sep 24, 2022

Well done and structured, I only wish the assignement would be more difficult!

By Arjun S

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Sep 30, 2020

Would have preferred notebook evaluations which were there in the CNN course.

By Paulo A C

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May 14, 2020

Time series future predictions is something I really missed from this course.

By Sabharish M

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Dec 24, 2020

More real world examples and datasets would have been beneficial

By Alexey V

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Dec 30, 2019

Would ask more difficult tasks to solve, the level is just entry

By Raul D M

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Feb 19, 2020

It is the most interesting course of this specialization.

By Attili S

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Sep 15, 2020

could have emphasized more on the time-series data...

By Pablo J

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Jan 29, 2020

I would have like to do testing exercises.

By Zanuar E R

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May 27, 2020

the sound still bad, cant hear the voices

By Angel S

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Dec 1, 2020

This course teaches just the very basics

By Pakpoom S

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Aug 19, 2022

It's good but not much practical

By Robert M

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Aug 2, 2020

Model did not predict well.

By Naim H

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Nov 2, 2019

where is the assignment

By Ksh N S

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Sep 15, 2020

audio volume very less

By Gerardo S

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Oct 1, 2019

a little bit to light

By Artem K

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Sep 17, 2020

Plz more practice :)

By Kai J J

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Aug 22, 2020

A little to easy.

By Nechi A

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Feb 6, 2021

too easy

By Andres S R

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Mar 18, 2022

Not man

By Masoud V

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Aug 23, 2019

Good

By Leonardo

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Dec 21, 2020

I have done the initial Deep learning courses of Andrew, and they were very thorough and well explained. I was expecting the same quality, however, it was not so. Explanations were generally good, but the examples and the details around the architecture of the models were barely discussed or considered, besides pointing me to the next course (which I have done). I was a bit disappointed TBH, for an "applied" course I do not think this provides enough material to begin applying this knowledge into real life problems.