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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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676 - 700 of 781 Reviews for Sequences, Time Series and Prediction

By Giri D

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Dec 13, 2019

A vast portion covered with few videos.

By Aidin G

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Nov 4, 2020

Great course as always! Learned alot!

By Akshay K C

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Sep 19, 2020

Assignments should be made compulsary

By Tobias B

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Jun 25, 2020

Great course, but no graded exercises

By Robert G

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Dec 11, 2019

I would like to see forex and stocks.

By Thắng N H

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Jun 23, 2022

Good course for learning tensorflow

By Komang A W

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Apr 13, 2022

very usefull and easy to understand

By Akim B

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Apr 19, 2020

Interesting, however somewhat basic

By Milton H A G

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Jul 7, 2020

Very pragmatic and hands-on course

By Roberto S

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Mar 29, 2023

It was missing more real cases

By Muhammad R

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Jul 25, 2020

I miss the graded assignments.

By Ramil A

•

Apr 16, 2020

Graded exercise would be nice

By Isaac D

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Jul 22, 2021

No code challenges - 4 stars

By PRITAM C

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Sep 8, 2020

It is wonderful experience

By Shitian S

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Jun 17, 2020

it's good for beginners.

By Jacky T

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Jan 6, 2021

Very useful course

By Manish S

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Jun 21, 2020

Awesome experience

By Naveen K

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May 12, 2020

No graded exercise

By Aminata G

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Jun 16, 2020

C'était géniale!

By Ashwani Y

•

Apr 24, 2020

it was good

By Vikas C

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Dec 24, 2019

Good course

By Yu-Chen L

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Jun 26, 2020

Okay

By Joanna S

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Jun 21, 2020

I am a software engineer with a good base knowledge of machine learning and neural networks, and I took this course to get more specific knowledge about time series and TensorFlow to help with a project using stock market data. The content of this course is very shallow. I don't feel like I learned much reusable knowledge because much of the course is basically walking through code in Jupyter notebooks. If I wanted to just learn to copy someone else's code, I can do that on my own (for free) reading blog posts or tutorials. Also, quiz questions that ask about function names or names of libraries do not show any understanding of concepts and really just felt like filler because they needed 10 questions but hadn't taught any concepts to ask actual questions about.

I'm giving this 3 stars instead of 1 because maybe the audience is supposed to be students with less knowledge of machine learning or programming, or maybe it just doesn't match my learning style.

By Vincenzo T

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Nov 15, 2020

The course in general is good and introduces you to the uses of tensorflow keras API with different cases, but i can't give 5 stars because i think it still lacks on fundamental teaching about tensorflow.

I mean that during the course some tensorflow tools appear out of nothing, mainwhile i think would make a lot of sense to dedicate at least one course's module to introduce tensorflow library itself.

Just an example: during the last week we make an extensive use of tensorflow "Dataset" class to load the data into neural networks, and this tool appears out of nothing, but it seems very important and useful stuff that i think would deserve some introduction and explaining before you use it.

By Jiawei X

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Jan 11, 2020

This course is great for introduction. BUT it is still lacking very important background information of the Tensorflow Dataset and how to master it.

It makes sense not to go into too deep on the NN model and their theories but when it comes to practical usage of any machine learning packages, data pipelines play very significant role (count towards 60% - 70% of the codes).

In the course we briefly talk about Dataset and use only a few APIs without explaining why and the logic behind them. And tutorials from tensorflow's officials still lacking useful guidelines when dealing with dataset of multiple dimensions.