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

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1,176 个评分

课程概述

In Course 3 of the Natural Language Processing Specialization, you will: a) Train a neural network with word embeddings to perform sentiment analysis of tweets, b) Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model, c) Train a recurrent neural network to perform named entity recognition (NER) using LSTMs with linear layers, and d) Use so-called ‘Siamese’ LSTM models to compare questions in a corpus and identify those that are worded differently but have the same meaning. 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

SA

Sep 27, 2020

Overall it was great a course. A little bit weak in theory. I think for practical purposes whatever was sufficient. The detection of Question duplication was a very much cool model. I enjoy it a lot.

BS

Sep 25, 2020

Great Course as usual. Tried siamese models but got a very different results. Will need to study more on the conceptual side and implementation behind them. But overall, I am glad I touched LSTMs.

筛选依据：

101 - Natural Language Processing with Sequence Models 的 125 个评论（共 241 个）

创建者 Murat K

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Jan 3, 2021

this course is very useful for understanding same sequential NLP model using.

创建者 Роман Л

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Aug 2, 2020

The hallmark of this course is the very enjoyable trax / jax training. Thanks

创建者 Timothy G

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Sep 23, 2020

This course very informative on NLP is actual helping me do my next project.

创建者 Christoph H

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Aug 17, 2020

Very comprehensive introduction to Siamese Networks for One-Shot learning.

创建者 Martin P

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Mar 22, 2021

Great course with great lecturers. Clear explanation of advanced topics.

创建者 kunal c

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Mar 21, 2022

Really helpful in understanding and implementation of RNN and LSTM.

创建者 Ufuk H

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May 13, 2021

Great course, with clear explanations and well designed assignments.

创建者 Utku T

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Feb 24, 2021

Awesome course! I learned many theoretical and practical techniques.

创建者 SACHIN S

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Nov 11, 2020

This is one of the best course on NLP with Deep learning technique.

创建者 Reza M M

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Jul 4, 2022

It was very good course especially the 1 shot learning in week 4.

创建者 Eugenia M

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Nov 13, 2021

Excellent class with great assignments with real use case of NLP.

创建者 Esteban G

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Feb 9, 2021

Great Course I hope a Second NLP specialization will launch soon!

创建者 Nguyen T D

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Oct 1, 2020

Thanks for the course, i learned so much things in this course

创建者 AVIJIT J

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Oct 27, 2023

Very good learning, very effective, nothing better than this.

创建者 Rui A

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May 10, 2021

A very good introductory of the topic with hands-on projects

创建者 rishabh k

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Sep 10, 2021

Awesome! I hope to get job soon in the field of AI:)

创建者 Najrin S

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Jul 29, 2021

A great course. Everything was explained so clearly.

创建者 Adarsh V

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Aug 15, 2020

Great compact ad very useful course curriculum.

创建者 Kader D

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Oct 7, 2020

I enjoyed it, and I had a great intro to Trax

创建者 stephane d

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Sep 10, 2023

Great Courses as usual with Deeplearning.ai!

创建者 Moustafa S

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Sep 15, 2020

another great one, can't wait for the next !

创建者 Luis A

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Sep 26, 2020

Excellent course on advanced topics in NLP.

创建者 GUBERNEY M S

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Mar 20, 2021

Very clear and excellent to practice code.

创建者 Ruan L D

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Oct 1, 2020

good assigments and fast videos, very good

创建者 Ajay G

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Jul 25, 2021

Informative course on Sequence Models