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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
4,525 個評分

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.

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 716 個)

創建者 mehryar m

2019年12月27日

I'm so glad to take this course and build my knowledge regarding time-series data and modern approaches to create prognostic models. Thanks to Andrew Ng and L. Moroney to provide this course.

創建者 SIDDHARTHA P

2020年3月27日

Few hands on programming assignments could be better for experience as was the case with starting two courses. Overall good course and the structure was well laid. Thanks for building it up

創建者 William G

2019年8月16日

Though I feel some aspects of this course did not delve deep enough into the explanations of some functions, the course helped me understand how to use models for time series problems.

創建者 winniefred m b

2021年5月23日

taking this course was undoubtedly a better idea than endless scans over tensorflow documentation and other books. I am glad I got to do this course, wish I had taken this up earlier

創建者 Hyungmin S

2020年7月19日

I wish there were more detail explanation about hyper-parameter tuning when we define NN Models.

other than that, this course was great and gave me lot of insights. Thank you.

創建者 Yongqing X

2020年9月26日

I'd like to learn more about algorithmic principle(Although some Andrew‘s class link is attached. )why not explain the principle combined with the real example

創建者 CM

2019年8月19日

Wish there were graded programming exercises. The quizzes has questions not relevant to the goal of the lesson ex What is the seasonality of sunspots.

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.