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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
4,479 個評分
711 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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676 - Sequences, Time Series and Prediction 的 700 個評論(共 711 個)

創建者 Andres S R

2022年3月18日

Not man

創建者 Masoud V

2019年8月23日

Good

創建者 Igor A

2022年3月18日

Super repetitive, same code is shown like in 5 videos, IMO not the right things are emphasized (e.g. it is mentioned in every video that you should use Tensorflow v2, but some new TensorFlow commands that you come acrosse are not even mentioned with a single word). The performance differences between different types of networks do not become apparent. Too mich time "wasted" on synthetic timeseries generation and non-deep-learning (statistical) analysis. No real hands-on (letting students copy-paste code that you have just seen in the lecture is a joke!)

創建者 Leonardo

2020年12月21日

I have done the initial Deep learning courses of Andrew, and they were very thorough and well explained. I was expecting the same quality, however, it was not so. Explanations were generally good, but the examples and the details around the architecture of the models were barely discussed or considered, besides pointing me to the next course (which I have done). I was a bit disappointed TBH, for an "applied" course I do not think this provides enough material to begin applying this knowledge into real life problems.

創建者 Joanne R

2019年9月8日

Really poor quality, sadly. The notebooks are full of errors, the quizzes are mostly coding questions instead of being about deeper understanding of the notions studied, and I don't think the videos are clear enough about what decisions are most important when building this type of model and how to make those decisions. Love the topic, but very disappointed, and don't think this is worth what I'm paying..

創建者 Andrei I

2021年2月13日

The course is merely a walk-through some Jupiter notebooks of Laurence. There are no proper slides with explanation of what's going on. I also don't see much activity from the course creators on the discussion forums. It is incredibly easy to complete the course without forming any deep understanding.

The weekly programming exercises are not even automatically checked for accuracy.

創建者 Praful G

2021年5月22日

If you already have good knowledge of Neural Networks like CNN, RNN, LSTM, etc. then only opt for this one. Because they keep referring to previous courses in the specialisation for these. Also, they are only writing the code but never cleared about, what they are writing and why.

創建者 Ebdulmomen A

2020年9月26日

quiz's are pathetic! throughout the whole course the instructor talks about the advantages of RNN and LSTM and CNNs for time series prediction while not being able to prove this not even for one in the entire course, what a disappointment !

創建者 Amairani Y V C

2021年12月21日

Me parece que no dan un buen enfoque a muchos puntos, los códigos no se explican bien, y abordan temas que son densos en minutos lo cual hace que quedes sin mucha información. No me parece que sea un buen curso por eso.

創建者 Kaushal T

2019年8月5日

The course was not as detailed or in a flow like I expected from a deeplearning.ai course and the editing was also very bad, one thing was shown and something else was spoken.

創建者 Victor H

2019年9月11日

A bit too high-level with lacking explanation on intuition. E.g. Conv1D was added to LSTM layers which helped reduce loss value, but did not go into the explanation of why.

創建者 Tomek D

2020年2月29日

Course is very quick and does not cover the topics in sufficient depth - explanations and discussion are all very brief.

創建者 Akiva K S

2021年9月7日

Junk course. Andrew Ng is a great specialist but I'll never try courses from deeplearning.ai.

創建者 Yevhen D

2021年2月13日

This course will be good only for very beginners. It's not deep and challenging enough.

創建者 Sergey K

2020年10月22日

To make it better you have to develop more challenging and GRADED! exercises

創建者 Sujin S

2019年10月5日

Poor audio quality.. Cant even hear in full volume

創建者 Gabor S

2020年6月25日

Very bad quizzes, no challenge whatsoever.

創建者 Bojiang J

2020年3月12日

Too much repetition in the content.

創建者 Anant G

2021年11月28日

It is a surface-level introduction

創建者 Ankit G

2020年5月21日

Could have been better

創建者 Magdalena S

2020年3月30日

Too easy.

創建者 Adam F

2021年11月1日

This specialization is false advertising. It does NOT prepare you for the Tensorflow certification exam. It’s especially disappointing after taking the fantastic specialization by Andrew Ng, and makes this specialization feel like a cheap cash grab by Coursera and DeepLearning.ai. This series of courses fails to prepare you for three reasons:

1 – The certification exam is done on whatever is the current version of Tensorflow (v2.6 as of writing). You can’t expect a specialization like this to update every minor release, but much of the coding is still on the v1.X version!

2 – The certification exam requires you to work in the PyCharm IDE. The IDE doesn’t even get a mention in this specialization and it is all done through Google Colab.

3 – The material is covered at a very superficial level. I was hoping to walk out of it feeling confident in using Tensorflow on novel problems, but I’ve barely learned anything about Tensorflow that I didn’t already get from Andrew Ng’s specialization. There’re a few minutes of lectures (some weeks less than 10 minutes). The programming assignments are either pathetically easy, or lack any guidance on what to do (seriously sometimes there’s no instructions at all, you have to guess what to do by the variable names), or both.

Save your time and money and go elsewhere to learn Tensorflow.

創建者 Albert Z

2021年12月12日

Even worse than the NLP course. Week 1~3 contains nearly no new material for tensorflow. It's just some replicated knowledge from previous courses. Studying synthetic data is good, but is off-topic for a tensorflow course. The course should focus on models and model structures for different types of time series data. My biggest complaint is that this course does not cover even the basic knowledge required by the tensorflow certificate exam (as advertised). Where is the multivariate time series forecasting? This is the most important part of the exam but the course totally neglects that.

創建者 Oliverio J S J

2021年10月21日

Like the previous course, this is not a four-week course but a collection of short videos that can be watched in one morning. The first week (actually the first hour) provides interesting insights about time series but the rest of the weeks (hours) are a quick review of code snippets. The pace set by a sequence of one-minute videos is excruciating and makes it difficult to follow the lectures. In addition, there are no practical assignments, just some trivial quizzes.

創建者 Xiaotian Z

2020年11月25日

I do hope that the deeplearning.ai team could spend more time polishing the materials instead of just throwing the Tensorflow docs/sample codes and going through them superficially. Please also change the instructor as I really doubt his professionalism/experiences in ML practices despite his titles. Please, please don't ruin your brand, deeplearning.ai. I wish to see more in-depth courses like the ones taught by Andrew.