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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
4,477 個評分
709 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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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.

JH

2020年3月21日

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.

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551 - Sequences, Time Series and Prediction 的 575 個評論(共 711 個)

創建者 Saikat M

2020年5月16日

New techniques were learnt regarding how to create a time-series signal and how they can be manipulated for forcasting and feeding to DNN networks.

創建者 Parth A

2019年8月11日

A good intro course to time series prediction. Would have loved some more data analysis and other time series methods like ARIMA and seasonal ARIMA

創建者 Ruben Y Q

2020年5月6日

course is good but it dont get deeper on using things like multivariate time series, in addition the course practice materials where kind of lax

創建者 Jesse

2019年8月12日

A little bit too simple cuz it only covers univariate time series practice. Would be better if there's more multivariate time series exercise.

創建者 Dan R

2020年5月13日

I was really waiting to predict 100 data that was similar to sequence, that being said; this was a good introduction to time series analysis.

創建者 Kartik P

2020年10月5日

its a nice course but instead of using synthetic data, it would have been better if we use real-time datasets for our practice and learning.

創建者 AMAN G

2020年5月26日

The programming exercise should not have been optional. But overall, this was an amazing course. A thumbs up from my side. Thanks a lot.

創建者 Ruben A M

2020年9月9日

A lot of typos and I felt that making the Graded Exercises instead of Non Graded is a much better experience for us the students.

創建者 Erik J J D B

2020年7月19日

Good and easy to follow course to learn tensorflow. You need a background on Machine Learning to fully benefit from this course.

創建者 DING T K

2021年2月12日

It is nice in introduction to the use of TF in time series. But a bit difficult in the code which without detail explanation.

創建者 Duncan B

2021年4月29日

I think this is a helpful introduction. It would have been helpful to delve into some multivariate sequence data examples.

創建者 Guillermo B

2021年4月2日

It would be great if the projects at the end of each week were graded. They were easily solved using that week lesson.

創建者 Thomas B

2020年4月11日

This is the best course of the specialization. You learn about applying DNN, RNN, LSTM and CNN to time series data.

創建者 Itamar d P R F

2020年7月20日

Great Course, enlights you were you should head. Although, it missed some further explanation of the steps used.

創建者 Lorenzo N

2022年1月20日

G​reat course! It would have been nice to teach something about multivariate time series forecasting as well

創建者 Nikhil K

2020年7月8日

Have to complete Andrew Ng's Deeplearning as this is very basic course on top of that for time series data.

創建者 Advay M

2020年11月17日

add more videos to clear deep understanding of time series and more graded practical assignments too...

創建者 Muthu R P E

2019年12月11日

Great course with in-depth knowledge of LSTM ! but not how LSTM is used on all practical applications.

創建者 AasaiAlangaram

2019年12月13日

Working With Sunset Kaggle Dataset was interesting.Waiting for upcoming courses in deep learning.

創建者 Ankur Y

2020年3月13日

There should have been a multivariate Time series example in this course, Otherwise it was great

創建者 Michalis F

2019年10月1日

overall good... but was expecting a bit more of it , being the last course in the specialization

創建者 Manish G

2019年8月22日

Good course it gives you quick start on practical aspects of Deep Learning techniques. Nice!

創建者 Igor B

2020年3月18日

Very good course, but for me is much better Andrew NG style, when he writes on "blackboard."

創建者 Saeif A

2019年8月24日

I wish there was graded assignment as the quizzes are shallow and not enough to practice.

創建者 Javier A

2020年9月30日

I would add some code assestments and challenges as requested for the previous courses.