课程概述
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The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.
I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!
2551 - Sequence Models 的 2575 个评论（共 3,090 个）
创建者 Lap-hang H
•The content was quite good as with previous courses in this specialization. Just dropping a star because week 1 material wasn't as clear to follow as the rest of the content.
创建者 Juan Z
•Compared to the first two sections, I don't think this section is better than those. Anyway, I learnt some concepts about sequence models which I need to dive into in future
创建者 Tang Y
•The videos are of high quality as always, while the programming exercises had some error in it. Compare with the previous few courses this one seems not polished so well.
创建者 Steven W
•I learned a lot, but it really felt like there could have been a whole other week's worth of material, especially talking about newer innovations like transformers, etc.
创建者 Jonathan H
•This course and assignments helped me understand concepts in NLP. However, it is a little less comprehensive compared to the previous courses in the deep learning series
创建者 David J
•Thank you Deep learning team for putting together this course. The course has really helped me understand the various possibilities with the knowledge of deep learning.
创建者 Bhavul G
•The first week was a bit too tough compared to the second and third. So, I felt it was a bit hurried. It could have been distributed into two separate weeks, perhaps.
创建者 Cristhian P
•This course was very useful. I would make the programming assignments for the first session a bit clear. Other than that, everything was easy to understand and clear.
创建者 Mike
•Good, but not as in depth as the other lecture series I found. It is faster paced and skips over much more of the detail at which they go into in the earlier modules.
创建者 joris b
•If the programming exercises weren't plagued by some bugs, I would have given 5 star. It's a very complex subject matter, but Andrew takes you through it by the hand.
创建者 Robert L
•I feel week 2 and week 3 materials were covered a bit too quick. Would appreciate more explanation of the implementation details of beam search and activation model.
创建者 Amir A
•It was really helpful, every topics explained very well. However, in my standpoint of view, It did not cover some part in sequence learning, like graphical models.
创建者 Jürgen R
•Really nice course. Very informative. Unfortunately some programming exercises were a little buggy (the grader especially)...only a total reset of notebook helped!
创建者 dang
•this course provide an adequate and what you want to know about recurrent neural network but it does require lots of programming skills to accomplish this course.
创建者 Tom S
•Good course, but I needed more time than expected, especially for the exercises. For me, that was the most demanding course out of the 5 from that specialization.
创建者 Tim A
•A lot of cool material covered from RNNs to LSTMs to Sequence Modeling. But it is a lot to grasp and a lot to understand. Overall, rigor and course is decent.
创建者 Aravind R K
•Great way to finish off the DL specialization. Had a blast learning about time sequences and attention models. It was extremely fun to work on the assignments.
创建者 Yogeshwar D
•programming assignments are not teaching us to code independently because of the helpers functions given in utils file. Feels like copy pasting the assignments
创建者 SIRAM N N D S K
•It is a really awesome course for those who want to get started with deep learning methods in NLP.
Got a very clear insight about GRU,LSTM,RNN,Word Embeddings.
创建者 Rohan S
•The course is really good, one star less because it requires keras understanding to complete assignments properly. Including a basic intro of keras will help
创建者 Nitin S
•The time allocated to some of the assigments should be increased. The estimated time in many cases seems to assume that one is aware of Keras and Tensorflow
创建者 Cazaubieilh G
•To the point ; sometimes it would be nice to explain the research papers more in depth, and link other courses to have more formal mathematical explanations
创建者 ignacio v
•Give us one more week to learn RNN for time series in economics, finance, etc!
Programming Exercises need more hints and more training in simple Keras models
创建者 Péter D
•Well-made course, but unfortunately there are tons of mistakes in the programming assignments - in the comments, formulas, even in the prepared code pieces.
创建者 Matheus B
•The best course in the Deep Learning Specialization. Really good and well explained. There are some problems and mistakes in the problem assignments though.
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