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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: 4,520
Рецензии: 716

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.

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:

151–175 из 716 отзывов о курсе Sequences, Time Series and Prediction

автор: Larissa B V

30 авг. 2021 г.

Very didactic teacher, very good examples for those with basic and intermediate knowledge. I really liked it. Congratulations on the excellent course!

автор: Mike B

20 июня 2020 г.

Excellent coverage of both the breadth of tooling now available in TF2.x and methods for shaping time series data so you can easily apply deep models.

автор: Roxanne E B

14 окт. 2020 г.

That was a great Intro course for time series prediction! It was so much fun to watch the videos and the notebooks were very very helpful! Thank you!

автор: Mauricio G

7 февр. 2020 г.

Es un poco abstracto este curso, recomiendo haber tomado el curso de Sequence Models de Andrew para poder interpretar mejor la información del curso

автор: Ayuni

13 июня 2020 г.

this course is strictured, clear explanations with brief videos. this is a great course to learn about machine learning especially in Tensorflow

автор: Patrick L

29 апр. 2020 г.

It's quite useful. But it'd be great if some details could be more explicitly mentioned like the tutorial in Tensorflow. It'd be a lot clearer.

автор: Alex F

30 янв. 2020 г.

A challenging journey to learn Sequences and Time Series to deal with the real-world, which is of much fun in the course. Let's explore together.

автор: Lokesh B

1 мая 2020 г.

Very insightful. Although I think, some of the quiz questions can be improved. Those questions were less related to TensorFlow or deep learning.

автор: Tiffany K

14 мая 2020 г.

great course! It was very helpful for implementing time series prediction strategies, and I was able to implement things I learned right away.

автор: Rafael T

5 апр. 2020 г.

The course is great, I think it is much intended for beginners in Deep learning, specially those looking for the coding and practical aspects.

автор: Carlos R M H

25 авг. 2020 г.

I really enjoyed the course. Laurence is an amazing teacher and listening to Andrew is amazing. Thank you so much for sharing your knowledge.

автор: Rajan K

29 сент. 2020 г.

Great course to quickly add to your kitty important syntaxes to build a TF script of a Deep Learning model. Thank you Laurence and Andrew!!

автор: Dr. V S S G - S

16 июня 2020 г.

This course has given me a very good insight into RNN, LSTM and BiLSTM models, their implementation for time series prediction. Excellent.

автор: Joseph O

1 июля 2020 г.

Excellent Course!

Very practical and highly informative for both beginners and experienced professional alike.

Highly recommend this course

автор: Carlos E

24 июня 2020 г.

awesome course and specialization :D. I highly recommend it to anyone that wants to gain experience building DL models with Tensorflow :)

автор: Narayana S

18 мар. 2020 г.

This course was very informational in how to build a deep learning time series model. I plan to use these techniques in my project work.

автор: AliArshad K

18 июня 2022 г.

Fantastic course on Tensorflow. Highly recommend for all the Deep Learning enthusiasts !!!

Lots of coding assignment and real world data

автор: Guillermo G

5 июля 2020 г.

Lawrence does a great job explaining all the concepts in this course. I think he's a really great teacher, and this is a great course.

автор: Andrej S

16 июля 2022 г.

Pretty good course that connects theory with practice.

I wouldn't say that you'll need 16 weeks to finish this though, maybe 4 weeks.

автор: ENDANG W

28 мая 2021 г.

Thank you because with me following this lesson I can get a lot of knowledge and practice what I get by taking the quizzes provided

автор: Jéssica d S C

22 апр. 2020 г.

I don't know much more about Time Series, mainly recurrent neural networks and LSTM. This helped so much. Now, I need to practice.

автор: Lydia N

6 янв. 2020 г.

Wonderful Course splendidly and thoughtfully compiled sets of hands-on exercises and information explaining how to use TensorFlow.

автор: Ulugbek D

8 дек. 2019 г.

I love this course! Especially, how the instructor introduces ways of varying certain hyperparameters to achieve optimal results.

автор: Alex R

7 сент. 2019 г.

great teaching and content.

i would have loved a deeper explanation of the code but it forced me to 'think more'.. which is good!

автор: karli s

14 окт. 2021 г.

this course is great. this open my horizon about time series prediction. i need to learn about this for my future thesis plan.