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学生对 DeepLearning.AI 提供的 Natural Language Processing with Probabilistic Models 的评价和反馈

4.7
1,781 个评分

课程概述

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. 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....

热门审阅

PP

May 29, 2021

I'm really thankful to the professors for sharing there knowledge and experience and creating this excellent course. I have learnt a a lot. Thank You !!!

BN

Feb 12, 2021

Nicely broken into digestible chunks. Labs well done, not too easy, and too too frustrating. Material presented clearly and in (again) nice small steps.

筛选依据:

76 - Natural Language Processing with Probabilistic Models 的 100 个评论(共 298 个)

创建者 aanand l

Feb 3, 2021

Course well structured. SBOW very well explained and registered firmly. Word embeddings explained very well. Overall very happy from the learning’s

创建者 Long H T

Jun 14, 2021

This course is amazing! I could not know that I can learn so many interesting things! I am so happy to take the next course in the specialization.

创建者 Yesid A C M

Jan 7, 2021

Es extenso, pero super interesante la forma de aprender por coursera, cbow model es super chevere. aprendí también, temas de toquenizar textos.

创建者 Ankur G

Sep 26, 2020

More fun if it would have more ungraded coding problem to solve ,It would be optional so that who wants to do more practice can be benefitted.

创建者 Hieu D T

Apr 21, 2021

Very well built lectures. The content is foundational enough for new student like me. I feel more comfortable with keywords in this field now.

创建者 Russell H

Aug 18, 2020

A bit light on the math vs. some other ML courses I have taken, but the good news is that this lets the focus be on the NLP-specific material.

创建者 Kartik S

Sep 6, 2020

The course content was really engaging. This really helped in understanding many of the basic foundational models for pivotal tasks of NLP.

创建者 Prakhar M

Nov 10, 2020

Very intresting and effective way of studing NLP . Totally amazing and 10/10 for the clearity of lecture delivery and video presentation .

创建者 Andrés F R P

Nov 16, 2021

Excelente! Me gustó mucho como enseñan la intuición y matemática detrás de los modelos de lenguaje probabilisticos y Word Embeddings.

创建者 Anshul B

Mar 7, 2021

I liked this better than the 1st course in the specialization. Instructors cover some real fundamental concepts and techniques in NLP

创建者 Vedika P

Oct 19, 2020

Brilliant course. Very enriching content and so very well explained. Challenging assignments made me explore each concept in-depth.

创建者 FERNANDO D H S

Sep 10, 2020

Excellent course, although the last assignment is very straight-forward and may be good to have a more in depth coding of the loss.

创建者 Prateek J

Feb 4, 2021

Amazing course. Starts from the basics and then teaches concepts in-depth. The exercises are also very elaborate and well thought.

创建者 Moustafa S

Sep 8, 2020

now we are talking, i really enjoyed this one, this gives you a pass to the first course as i didn't enjoy it at all :D, good job!

创建者 Ebram R T

Aug 11, 2023

This course is just superb. You will learn crucial concepts which will help you to be a NLP developer. Thanks deeplearning.ai

创建者 RAJ B S 1

Sep 6, 2020

Amazing how you make it look so so easy and explain straight to the point. Loved the implementation details and the notebooks

创建者 Jayantha N

Aug 6, 2020

All my doubts about word2vec models were cleared, after taking up this course. The instructor's diction was easy to follow.

创建者 Yeison T

Jun 2, 2022

I'm happy to learn all ot topics about Neural Networks in NLP. Explanations are very eaiser to understand. Thanks =)

创建者 Debabrata M

Feb 3, 2023

Very detailed and thorough course. The lab notebooks were very helpful in translating the understanding into code.

创建者 Aftab K

Jan 17, 2021

Very well presented with the right level of detail and emphasis along with complementary programming exercises.

创建者 Muhammad A N

Feb 2, 2022

Excellent design and delivery of the course. Makes one understand quite complicated algorithm in short time.

创建者 Bernard E

Oct 14, 2020

Great coding examples and exercises! All functions coded from scratch, no ML libraries used, which is great.

创建者 Thomas L

Feb 16, 2021

Exceptional. Second only to Andrew's course. The coding assignment's were the perfect level of difficulty.

创建者 Dustin V

Jan 16, 2021

Excellent primer material for probablistic NLP approaches. Sets the foundation for deep learning with NLP

创建者 Manmohan K

Aug 2, 2020

Loved it! The lectures as short and concise and the ungraded labs are a bonus which helped me learn a lot!