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

Оценки: 4,455
Рецензии: 704

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 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


6 июня 2020 г.

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


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:

301–325 из 704 отзывов о курсе Sequences, Time Series and Prediction

автор: Onuigwe V

12 июля 2020 г.

An interactive and practical course. Excellence course!

автор: Gal I

17 апр. 2021 г.

Where can i find a course on multivariate Time Series?

автор: Vinh T

14 июня 2020 г.

Thank you very much. The course is very useful for me!

автор: Xin H

15 апр. 2020 г.

Good chance to improve the understanding of Tensorflow

автор: Bandelier L

28 нояб. 2019 г.

Great to finally confidently apply ML to Time series !

автор: Sayak P

30 янв. 2021 г.

This one of the best courses by Laurence. Hands down!

автор: 김민규

22 янв. 2021 г.

한글 자막이 구글 번역기 수준이지만 알아들을 수 있는 단어들만 쓰셔서 학습에는 지장이 없습니다.

автор: Jaime C

21 янв. 2020 г.

Excellent, an interesting and practical point of view

автор: Бибик М В

1 февр. 2021 г.

VERY good course, interesting material, best teacher

автор: Bhavesh W

1 авг. 2020 г.

Lawrence is amazing tutor with self explaning slides

автор: Udith D B H

24 нояб. 2019 г.

It's very pleasure to learn from this course series.

автор: Ivan V S

24 авг. 2021 г.

A​mazing course! Laurence is a perfect instructor!!

автор: Jaya V J B

28 июля 2020 г.

Concise and to the point. Great learning experience

автор: Solomon M

16 мая 2021 г.

Great intro to TF, minor issues with tf libraries.

автор: Saurabh T

13 дек. 2020 г.

perfect course to get started with sequence model.

автор: Argenis G

9 дек. 2020 г.

Profesores excelentes y mucha información valiosa!

автор: Cosimo R

18 апр. 2020 г.

Great course with a lot of insights! Recommendable

автор: Yossi C

6 мар. 2020 г.

nice courses wanted to get higher level than this

автор: Thinh N

8 февр. 2020 г.

Very well-prepared and helpful course. Thank you!

автор: Paisit T

7 нояб. 2019 г.

Very good materials on programming with keras api

автор: Asad M

5 мар. 2021 г.

Loved the simple and to the point explanations !

автор: Gábor H

13 янв. 2020 г.

Very thanks the lot of samples and explanations.

автор: 毕文亮

17 февр. 2021 г.




автор: GARGEYA S

12 дек. 2020 г.

Best, Such efficient material. Really loved it.

автор: Ben B

8 мая 2020 г.

Very good specialization. I've really enjoyed!