学生对 DeepLearning.AI 提供的 Sequences, Time Series and Prediction 的评价和反馈
课程概述
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.
751 - Sequences, Time Series and Prediction 的 775 个评论(共 801 个)
创建者 Arjun S
•Sep 30, 2020
Would have preferred notebook evaluations which were there in the CNN course.
创建者 Paulo A C
•May 14, 2020
Time series future predictions is something I really missed from this course.
创建者 Sabharish M
•Dec 24, 2020
More real world examples and datasets would have been beneficial
创建者 Alexey V
•Dec 30, 2019
Would ask more difficult tasks to solve, the level is just entry
创建者 Raul D M
•Feb 19, 2020
It is the most interesting course of this specialization.
创建者 Attili S
•Sep 15, 2020
could have emphasized more on the time-series data...
创建者 Pablo J
•Jan 29, 2020
I would have like to do testing exercises.
创建者 Zanuar E R
•May 27, 2020
the sound still bad, cant hear the voices
创建者 Angel S
•Dec 1, 2020
This course teaches just the very basics
创建者 Pakpoom S
•Aug 19, 2022
It's good but not much practical
创建者 Robert M
•Aug 2, 2020
Model did not predict well.
创建者 Naim H
•Nov 2, 2019
where is the assignment
创建者 Ksh N S
•Sep 15, 2020
audio volume very less
创建者 Gerardo S
•Oct 1, 2019
a little bit to light
创建者 Artem K
•Sep 17, 2020
Plz more practice :)
创建者 Kai J J
•Aug 22, 2020
A little to easy.
创建者 Nechi A
•Feb 6, 2021
too easy
创建者 Andres S R
•Mar 18, 2022
Not man
创建者 Mas V
•Aug 23, 2019
Good
创建者 Leonardo
•Dec 21, 2020
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.
创建者 Jo R
•Sep 8, 2019
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..
创建者 Andrei I
•Feb 13, 2021
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.
创建者 Praful G
•May 22, 2021
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.
创建者 Ebdulmomen A
•Sep 26, 2020
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 !
创建者 Amairani Y V C
•Dec 21, 2021
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.