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學生對 deeplearning.ai 提供的 Natural Language Processing with Probabilistic Models 的評價和反饋

4.7
1,372 個評分

課程概述

In Course 2 of the Natural Language Processing Specialization, you will: a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming, b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is vital for computational linguistics, c) Write a better auto-complete algorithm using an N-gram language model, and d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text, and even built a chatbot! This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper....

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NM

2020年12月12日

A truly great course, focuses on the details you need, at a good pace, building up the foundations needed before relying more heavily on libraries an abstractions (which I assume will follow).

HS

2020年12月2日

A neatly organized course introducing the students to basics of Processing text data, learning word embedding and most importantly on how to interpret the word embedding. Great Job!!

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176 - Natural Language Processing with Probabilistic Models 的 200 個評論(共 242 個)

創建者 Chen

2021年10月27日

Thank you!

創建者 Mohamed S

2020年10月10日

I loved it

創建者 M n n

2020年11月15日

Good One

創建者 Zoizou A

2020年10月25日

amazing

創建者 THIRUKARTHIKA M

2020年7月17日

awesome

創建者 Ziheng L

2021年10月24日

great!

創建者 Venkatasai A

2021年4月2日

keeeka

創建者 Ricardo F

2021年1月18日

Great!

創建者 Jeff D

2020年11月10日

Thanks

創建者 Darwin P C M

2020年9月13日

Thanks

創建者 克軒廖

2021年2月9日

Nice!

創建者 Rifat R

2020年8月2日

Best.

創建者 Chamoda J

2020年8月2日

great

創建者 Thành H Đ T

2021年10月17日

đỉnh

創建者 MOURAD B

2021年4月18日

good

創建者 D. R

2021年3月22日

I'm a master/graduate student who took an NLP course in Uni.

I think that overall this is a very a good introduction to the topic. Some concepts are really well explained - in a simple manner and with a lot of jupyter-lab code to experiment with.

In general in this specialization - the first 3 courses are good. There are some quirks (e.g. why Lukas is needed at all? He doesn't really teaches, just passes it on to Younes) but nevertheless I learned from it. And I think they have good value in them.

The 4th one, however, is completely disappointing. First 2 "weeks" are confusing, not really well explained, but somewhat "bearable". The last 2 weeks are complete sham. They claim to teach "BERT" and "T5" but don't really give any value. You're better off going elsewhere to learn these concepts.

If it wasn't for this, I would give the overall experience a 5 stars, but because of this, I think the overall is more like 3 or 4.

創建者 Eloy S

2021年6月29日

Es bastante completo, y en general, claro; salvo un detalle: explica demasiado superficialmente PCA, pero luego para la tarea hay que implementarlo manualmente. También tiene algunos bugs desde hace meses a pesar de haber sido reportados con solución. Además, las lecturas posteriores a los videos a veces son escuetas y le hacen falta algunos diagramas que se ven en el video (conviene sacar capturas de los videos para tomar nota).

It is quite complete, and generally speaking very clear, except PCA: it's covered only superficially but it is required to implement by hand on the assignment. Also it has some unsolved bugs since several months ago, despite they were reported with solutions. Also, the readings after the videos are sometimes narrow and lack of some diagrams shown on the videos (it is useful to take screenshots to take notes).

創建者 Nima M

2020年11月6日

The content of the course was really interesting an engaging. But the assignments mostly only helped in understanding the details of the algorithms and processes. It would have been nice to get to learn how to use state of the art libraries, which would've been more practical. Although, in fairness, anybody who completes this course should be able to make use of off-the-shelf libraries. Another point was that when the instructor was narrating the slides, his intonation was occasionally a bit off, making me lose track of the subject and having to re-listen few times.

創建者 Yen S L

2020年9月7日

Good for the basics of NLP. Good mix of examples from classical NLP (e.g. n-grams) and neural nets (e.g. embeddings). As usual from deeplearning.ai, great motivating examples such as autocorrect and autocomplete to help us understand the materials. The neural net examples could do with more equations as in other deeplearning.ai courses.

創建者 Shantimohan E

2021年12月11日

The quiz for week 1 contains topics from week 4. It has not been changed in 2 weeks that I was on this course. Except for this lacuna everything else was very nice. The course is well structured and the assignments made me to think and revise the course material thoroughly. In a nutshell this was an excellent course.

創建者 Mares B

2020年12月2日

Thank you for the Lecture. I enjoyed it a lot! One thing I did not like too much was reading aloud and fast complex equations. I got distracted a lot when that happened. Also the Grade of the programming assignment is very slow and some additional verification of the programming task would be helpful.

創建者 Anatoly L

2021年12月4日

There is a confusion in week 1 practical quiz. It seems that this task from week 4. There are conusions in contests but in general this is good course, because we come through the program from simple to difficult tasks and make necessary computings and functions from libriaries from scratch.

創建者 Kostyantyn B

2020年10月18日

A good course overall. I wish the assignments were a bit more challenging though. Still, we have covered a lot of ground. And for those who know nothing about the word embeddings, I think this would be a perfect first course to take. So all in all, time well spent.

創建者 James P

2020年9月17日

I found the course really helped to reinforce my understanding about importants concepts like n-grams, HMMs and word embeddings. The labs are pretty well spread out, and by the time you get to the week-ending assignments, you have all the info you need to complete.

創建者 vijaya k e

2022年2月3日

It will benefit if we can apply the knowledge at work while learning. Fourmulas in videos, readings and assignments are sometimes different. There is almost no help in community forum if we are stuck with assignmernts. It helps if we get help from TAs.