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

4.7
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

MI

Jun 6, 2020

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

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.

筛选依据:

151 - Sequences, Time Series and Prediction 的 175 个评论(共 801 个)

创建者 Agus A

Nov 3, 2023

The course is structured and very easy to understand. In my experience during this course, many things that I didn't understand before, I now understand and can practice.

创建者 Colman S

Dec 1, 2019

Great introduction to TensorFlow. Very broad coverage of the tools available in TensorFlow for Machine learning. Everything you need to get started on your first project!

创建者 DaesooLee

May 9, 2020

Short, concise, and practical. But maybe, it'd be better if some more practical examples are addressed that clearly shows the power of the (CNN-)LSTM model over DNN.

创建者 Zhi L

Apr 15, 2022

very resourceful course indeed, learnt a lot about the workflow of model development with time series datasets, and how to make trade-offs on hyperparameter tuning.

创建者 Marco D V

Nov 25, 2020

Great courses! Please do not evaluate this course as it is ! You need to take also the ML and Deep Learning previous courses before find the real taste of this one!

创建者 Thomas C O P

Mar 8, 2024

Absolutely Useful to broaden the mind on machine learning experiences. Hope to see more useful machine learning practices and implement them on real-life problems.

创建者 Anjana K V

Nov 26, 2019

Thank you Laurence sir and Andrew sir for putting together this course. It gives a good foundation to learn more about deep learning and its numerous applications.

创建者 Gurpreet S

Aug 5, 2019

Fantastic course, starting from basic fundamentals of statistical forecasting to using Convolutional neural networks. I will use my learnings directly to my job.

创建者 Abhijit K

Aug 9, 2024

This course equipped me with skills in TensorFlow development and has given me enough experience with the in-course projects to help me secure a job/internship.

创建者 santiago r z

Nov 18, 2020

Great courses made by great people. Every course shows how to nicely handle practical problems that need to be solved when implementing Deep Learning algorithm.

创建者 Shreyansh G (

Feb 21, 2021

There should be more explanation on why the convolution layer was used in the time series predictions and an explanation of time series data generation code.

创建者 Olena I

Oct 25, 2020

Quite interesting and useful course. I wish there is more theory on LSTM embedded INTO the course, and not given as a reference to another course. Thank you!

创建者 SMRUTI R D

Jul 22, 2020

The practice problems could have been a bit more rigorous. you may think of prediction of stock prices as an exercise. Thanks a lot for this specialization..

创建者 renzo a g

Jan 7, 2022

Realmente quisiera agradecer al equipo por el gran trabajo que hay detrás de este curso. Se hace bastante fluido avanzar, solo basta con tener las ganas!

创建者 kedar w

Feb 23, 2024

Thoroughly enjoyed the coursework and assignments. Also looking forward to learn more and build more advanced models. Thank you Lawrence and the team.

创建者 Larissa B V

Aug 30, 2021

Very didactic teacher, very good examples for those with basic and intermediate knowledge. I really liked it. Congratulations on the excellent course!

创建者 Mike B

Jun 20, 2020

Excellent coverage of both the breadth of tooling now available in TF2.x and methods for shaping time series data so you can easily apply deep models.

创建者 Roxanne E B

Oct 14, 2020

That was a great Intro course for time series prediction! It was so much fun to watch the videos and the notebooks were very very helpful! Thank you!

创建者 Mauricio G

Feb 7, 2020

Es un poco abstracto este curso, recomiendo haber tomado el curso de Sequence Models de Andrew para poder interpretar mejor la información del curso

创建者 Ayuni A

Jun 13, 2020

this course is strictured, clear explanations with brief videos. this is a great course to learn about machine learning especially in Tensorflow

创建者 Patrick L

Apr 28, 2020

It's quite useful. But it'd be great if some details could be more explicitly mentioned like the tutorial in Tensorflow. It'd be a lot clearer.

创建者 Alex F

Jan 30, 2020

A challenging journey to learn Sequences and Time Series to deal with the real-world, which is of much fun in the course. Let's explore together.

创建者 Lokesh B

May 1, 2020

Very insightful. Although I think, some of the quiz questions can be improved. Those questions were less related to TensorFlow or deep learning.