Name: Natural Language Processing with Attention Models
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.4 (259 reviews)

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

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1,082 个评分

课程概述

In Course 4 of the Natural Language Processing Specialization, you will: a) Translate complete English sentences into Portuguese using an encoder-decoder attention model, b) Build a Transformer model to summarize text, c) Use T5 and BERT models to perform question-answering. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, and created tools to translate languages and summarize text! Learners should have a working knowledge of machine learning, intermediate Python including experience with a deep learning framework (e.g., TensorFlow, Keras), as well as proficiency in calculus, linear algebra, and statistics. Please make sure that you’ve completed course 3 - Natural Language Processing with Sequence Models - before starting this course. 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....

251 - Natural Language Processing with Attention Models 的 260 个评论（共 260 个）

创建者 Vital

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Jan 25, 2021

1) Information 3 out of 5:

no in depth explanations.

2) quiz are too easy, and I was missing good quizzes that were proposed at DL specialization with use cases, they cause me to think what to pick.

3) home tasks are 1 out of 5:

3.1 First of all all home tasks are done in different manner.

3.2 Some of them require additional check even all tests were passed.

3.3 Part with google collab is also a little bit strange... I want to have 1 click away home task and not setting up 3-rd party env.

What is good: for high - level overview this course is ok. Maybe have 2 versions of the course one with in depth explanations. and one more like this one.

创建者 Arun

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Feb 18, 2021

Compared to Andrew Ng's deep learning specialization, this course requires a lot of improvement. Very often disparate facts are put together with not much connection between the ideas. This is probably because of the enormous amount of content covered. It might make sense to split the course into two. Thank you!

创建者 Steven N

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Apr 29, 2021

The course lectures were very confusing, and the course assignments were too easy, so they didn't reinforce the lecture concepts in the same way that assignments from other courses had.

创建者 Mohsen A F

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Oct 24, 2020

Like: State-of-the-art NLP problems to be used in the industry.

Dislike: Topics were not well-explained. Difficult to grasp

创建者一田木

•

Jul 23, 2023

Trax is no longer in active development.

创建者 Sudhanva S

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Oct 20, 2024

Not a good course, the first 3 courses were really good but this one was too hard and the vedios didnt complement it well. The vedios just read a script and such a complex science topic is hard to digest this way. The reading was noo different in the other courses as well but since they were easy to understand , it didnt matter much. But this was too hard. Now have to search in you tube ig

创建者 Fernando A

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Oct 20, 2025

imposible to make the notebook work. It always fails and shows as incomplete in the grade. I get the message of completed cell # UNIT TEST w3_unittest.test_parse_squad(parse_squad) All tests passed But still shows as incomplete. The labs of course are complete waste of time and disappointment