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学生对 DeepLearning.AI 提供的 Sequences, Time Series and Prediction 的评价和反馈

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5,142 个评分

课程概述

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 Developer 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....

热门审阅

JH

Mar 21, 2020

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.

AK

Jun 4, 2020

Laurence Moroney is the best. Before taking up the course, i didnt know anything about the AI or ML or Tensorflow. The concepts were explained in such a manner that anyone can learn Tensorflow.

筛选依据：

301 - Sequences, Time Series and Prediction 的 325 个评论（共 801 个）

创建者 Balaji T

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Oct 29, 2022

Excellent course for learning Timeseries based forecasting in general.

创建者 Alan F T

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Oct 10, 2020

Excellent course with real practical examples and great walk throughs.

创建者 Mostafa G

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Aug 5, 2019

Excellent course to take after completing Deep Learning Specialization

创建者 Fabiana C

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Feb 13, 2021

Good course. I just wished they would cover multivariate time series.

创建者 Thar H S

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Jun 18, 2020

It really simple and useful for my career. Thank you for teaching me.

创建者 Abhiram V

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Mar 1, 2020

The content and visualization helps to understand the problem so well

创建者 Jeferson F

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Sep 10, 2019

Very good course! I liked it very much! Thanks for all this knowledge

创建者 Enzo D G M

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Nov 8, 2020

I learned very much with this specialization, was funny and powerful

创建者 Abishek S

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Jun 20, 2020

Slightly more difficult than the other courses, but very informative

创建者 Nadhifa S

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Jun 16, 2020

GREAT! I learn A LOT from this. Thanks very much laurence & andrew!

创建者 Kota M

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Aug 11, 2019

I think there should be graded problem sets for effective learning.

创建者 Darko C

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Jan 26, 2021

The course should have a mandatory programming assignment as well.

创建者 Karunanidhi M

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Sep 19, 2019

Helped me solve a real-time Prediction Challenge Excellent Course.

创建者 Aleksandr S

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Jan 24, 2021

The course was great. I learned a lot for practice in TensortFlow

创建者 Deleted A

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May 11, 2023

Amazing course, really showed how to use TensorFlow practically.

创建者 Volodymyr S

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Nov 29, 2021

Освежил и дополнил знания полученный от старых курсов Andrew Ng

创建者 Avinash S

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May 8, 2020

I Loved it,

Looking forward to next specialisation tf deployement

创建者 maxime c

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Mar 7, 2020

Great course. A second course with more complex models is needed

创建者 Vidush R

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Dec 1, 2019

One of the best course in coursera, looking forward more courses

创建者 Fernando W

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Feb 2, 2021

Great course! I recommend taking it along to Andrew NG's course

创建者 afshin m

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Jan 18, 2020

This course is much better organized than the NLP (3rd) course.

创建者 Yaseen M

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Sep 13, 2022

Best course I have ever learned and instructor was very well.

创建者 priyanshu s

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Jun 24, 2022

best course on time series . And for deep learning time series

创建者 Juan C B G

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Nov 27, 2020

Es un curso muy bien dado, de manera prática y bien explicado.

创建者 han

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May 3, 2020

Great course, Looking forward to pro course for tensorflow 2.0