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學生對 deeplearning.ai 提供的 Sequences, Time Series and Prediction 的評價和反饋

4.7
4,519 個評分
715 條評論

課程概述

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....

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MI

2020年6月6日

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.

OR

2019年8月3日

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.

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651 - Sequences, Time Series and Prediction 的 675 個評論(共 716 個)

創建者 Kevin H

2020年7月12日

Graded, non-optional assignments should really be added to this, and the rest of the courses.

It would help ensure the understanding of the tools in question. Providing the answers as Colabs is nice and helpful, but does not drive you to actually try things out.

創建者 Haoyu R

2019年11月27日

In last week, the course gets really worse. The code are not well explained. And no tutor is there for answering the questions. For example, suddenly change the model from sequences2vector to sequences2sequences without any notification. What a shame.

創建者 Alejandro B G

2019年9月4日

Teacher is not anywhere close to Andrew, plus the grading tools are non-existent. It goes too heavy on preprocessing when we want to learn tensorflow, you could've spent all that time in teaching Tensorflow appart from Keras.

創建者 Eugene Y

2020年10月22日

Barely scratched the surface of the topic. For this particular course (alongside NLP too), I constantly had to look for more sources of information as certain aspects of the code implementation was not thoroughly explained.

創建者 Hector B

2020年6月12日

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.

創建者 Rajesh R

2021年6月20日

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.

創建者 Asad M

2020年2月23日

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.

創建者 Igors K

2019年11月23日

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.

創建者 peropop

2020年2月4日

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.

創建者 Slav K

2019年11月12日

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.

創建者 Dimitry I

2019年8月26日

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.

創建者 J N B P

2021年2月3日

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.

創建者 Harshin N m

2020年8月16日

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.

創建者 Bogdan L

2020年7月7日

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

創建者 Alfian A H

2021年4月20日

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

創建者 Ghifari A F

2020年5月14日

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

創建者 Muhammad E K

2020年8月31日

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

創建者 Sajal C

2020年4月7日

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

創建者 Arjun S

2020年9月30日

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

創建者 Paulo A C

2020年5月14日

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

創建者 Sabharish M

2020年12月24日

More real world examples and datasets would have been beneficial

創建者 Alexey V

2019年12月30日

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

創建者 Raul D M

2020年2月19日

It is the most interesting course of this specialization.

創建者 Attili S

2020年9月15日

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

創建者 Pablo J

2020年1月29日

I would have like to do testing exercises.