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Вернуться к Sequences, Time Series and Prediction

Отзывы учащихся о курсе Sequences, Time Series and Prediction от партнера deeplearning.ai

4.7
звезд
Оценки: 4,309
•
Рецензии: 687

О курсе

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....

Лучшие рецензии

OR
3 авг. 2019 г.

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.

JH
21 мар. 2020 г.

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.

Фильтр по:

576–600 из 687 отзывов о курсе Sequences, Time Series and Prediction

автор: Gerardo S

•
2 дек. 2020 г.

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

автор: Devwrat N

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30 сент. 2019 г.

Every step in programming should have been explained in detail

автор: Fülöp C

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26 апр. 2021 г.

The quality of the exercises were below my expectations

автор: Ozora O

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2 янв. 2021 г.

If this course has any coding problem, getting better.

автор: Vrushabh U J

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1 янв. 2022 г.

It would be great to include some stock market data.

автор: Apoorv T

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24 авг. 2020 г.

Good course, but want to learn more in time series

автор: Walter G

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25 нояб. 2019 г.

Would prefer some comments in the colab notebooks.

автор: Manas M

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28 июня 2020 г.

Need multivariate time series real world examples

автор: Aanal S

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2 июня 2020 г.

Liitle bit theoritical explanation is necessary.

автор: Jbene M

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3 авг. 2019 г.

I have learned something. But it still too easy.

автор: Rohit R C

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10 мая 2020 г.

Great practical course, could be more detailed.

автор: Eslam G

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31 июля 2019 г.

This Course is very useful for beginners.

автор: Fahad U

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5 февр. 2021 г.

Great course! a little on the easy side.

автор: David L

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2 апр. 2021 г.

I wish I have a graded coding practice.

автор: Giri D

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13 дек. 2019 г.

A vast portion covered with few videos.

автор: Aidin G

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4 нояб. 2020 г.

Great course as always! Learned alot!

автор: Akshay K C

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19 сент. 2020 г.

Assignments should be made compulsary

автор: Tobias B

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25 июня 2020 г.

Great course, but no graded exercises

автор: Robert G

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11 дек. 2019 г.

I would like to see forex and stocks.

автор: Akim B

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19 апр. 2020 г.

Interesting, however somewhat basic

автор: Milton H A G

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7 июля 2020 г.

Very pragmatic and hands-on course

автор: Muhammad R

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25 июля 2020 г.

I miss the graded assignments.

автор: Ramil A

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16 апр. 2020 г.

Graded exercise would be nice

автор: Isaac D

•
22 июля 2021 г.

No code challenges - 4 stars

автор: PRITAM C

•
8 сент. 2020 г.

It is wonderful experience

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