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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: 4,455
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 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

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.

MI

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 deeplearning.ai.

Фильтр по:

326–350 из 704 отзывов о курсе Sequences, Time Series and Prediction

автор: amadou d

14 окт. 2020 г.

Excellent!!!Fantastic!! Thank You Very MUCH.

автор: jang

10 окт. 2020 г.

The recorded volume in all videos is too low.

автор: Aditya M

27 мая 2020 г.

Best of all 4 courses in this specialization!

автор: Yuliya M

4 мая 2020 г.

A very nice course, exact and into the point.

автор: Abe K

21 авг. 2019 г.

Learned so much. Thank you both. Great job!!!

автор: Mukkul N K

17 дек. 2019 г.

Really an awesome course. Full of knowledge.

автор: sunit k s

2 июля 2021 г.

Really helpful course in time series domain

автор: Jose J P P

20 июля 2020 г.

Liked the motivation behind the application

автор: Jonathan P

27 янв. 2020 г.

Extremely understandable! Brilliant course!

автор: 全玉湖

30 сент. 2019 г.

Great courses i have learned, thanks a lot!

автор: Juan S

22 нояб. 2020 г.

Muy buenos los cursos y bastante prácticos

автор: Shrinidhi V

13 июля 2020 г.

Amazing course and amazing specialization.

автор: abhinav t

6 мая 2020 г.

I learned a lot trough this course! Thanks

автор: Lijoy J

20 авг. 2019 г.

great start for a machine learning student

автор: Kush S

1 мар. 2021 г.

It is very short and knowledgeful content

автор: Chunyi H

15 окт. 2020 г.

Great introduction course to time series!

автор: Henok T

27 авг. 2020 г.

It is everything it says it is! Loved it

автор: Hua S

23 апр. 2020 г.

Thank you for all of your great efforts!

автор: Amardeep S

3 янв. 2020 г.

Homework assignments should be required.

автор: Lam V

20 авг. 2019 г.

Once again, excellent job from Laurence!

автор: tanay s

5 июня 2020 г.

A good starter pack for LSTMs and RNNs.

автор: Tristan R

21 нояб. 2019 г.

Very exciting to learn ML in practice !

автор: sanket

22 мая 2020 г.

Really the way you deliver the course!

автор: Paolo F V

17 янв. 2021 г.

Lawrence is a really good instructor!

автор: Andy

9 янв. 2021 г.

Genial!! muy practico y va al grano..