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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: 4,303
Рецензии: 686

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:

626–650 из 687 отзывов о курсе Sequences, Time Series and Prediction

автор: Hector B

12 июня 2020 г.

Compared to the first two courses in the specialization, the last two lack a lot of practical coding homework, and there is really where the concepts are fixed. The course should have more graded coding excercises.

автор: Rajesh R

20 июня 2021 г.

Good course but could have been better. Many obvious issues with time series forecasting / prediction were not discussed, such as the inability of the model to predict some of the peaks and troughs better.

автор: Asad M

23 февр. 2020 г.

It's a relatively shallow course. They don't really dive down to the details or even don't cover whole a lot when it comes to examples, exercises or assignments. So, This is very much for the beginners.

автор: Igors K

23 нояб. 2019 г.

The week 2 quiz is super bad (even pro NN people didn't couldn't answer some questions cos they're badly worded).

I honestly am not a fan of getting the notebook after the video that explains it.

автор: peropop

4 февр. 2020 г.

Nice course. Despite it's a practical one, you should consider to get just some deeper in the theory embedding the models you presented, to make the audience understand better what's going on.

автор: Slav K

12 нояб. 2019 г.

As from fulltime ML practitioner and occasional user of TF this course is not too much in "practice" as many things are left untouched. However can be beneficial to complete newbie.

автор: Dimitry I

26 авг. 2019 г.

Good course, but seems a bit hastily put together. I really liked the technique for determining optimal learning rate. Thank you Mr. Moroney and the entire Coursera team.

автор: J N B P

3 февр. 2021 г.

This course teaches how to use the tools in Tensorflow for predictive analysis. It would be more helpful if you're familiar with sequence models.

автор: Harshin N m

16 авг. 2020 г.

Course should more focus on real time data set, and assignments should be based on building the model, rather than this kind of simple questions.

автор: Bogdan L

7 июля 2020 г.

This course was less detailed than I had hoped. I feel I have learnt more from the CNN and NLP courses in this specialisation.

автор: Alfian A H

20 апр. 2021 г.

The sound keeps getting lower and lower but the materials is good. i hope you can explain in real data more than dummy data.

автор: Ghifari A F

14 мая 2020 г.

I didn't expect the course would be this easy and simple. But overall, this course is useful for introduction to TensorFlow.

автор: Muhammad E K

31 авг. 2020 г.

This course lacks content, does not really teach much. Most of the time instructor just reads out code

автор: Sajal C

7 апр. 2020 г.

More explanatory links can be given about different concepts. Other than that, course is fine.

автор: Arjun S

30 сент. 2020 г.

Would have preferred notebook evaluations which were there in the CNN course.

автор: Paulo A C

14 мая 2020 г.

Time series future predictions is something I really missed from this course.

автор: Sabharish M

24 дек. 2020 г.

More real world examples and datasets would have been beneficial

автор: Alexey V

30 дек. 2019 г.

Would ask more difficult tasks to solve, the level is just entry

автор: Raul D M

19 февр. 2020 г.

It is the most interesting course of this specialization.

автор: Attili S

15 сент. 2020 г.

could have emphasized more on the time-series data...

автор: Pablo J

29 янв. 2020 г.

I would have like to do testing exercises.

автор: Zanuar E R

27 мая 2020 г.

the sound still bad, cant hear the voices

автор: Angel S

1 дек. 2020 г.

This course teaches just the very basics

автор: Robert M

2 авг. 2020 г.

Model did not predict well.

автор: Naim H

2 нояб. 2019 г.

where is the assignment