学生对 DeepLearning.AI 提供的 Natural Language Processing with Attention Models 的评价和反馈
课程概述
热门审阅
JH
Oct 4, 2020
Can the instructors make maybe a video explaining the ungraded lab? That will be useful. Other students find it difficult to understand both LSH attention layer ungraded lab. Thanks
SB
Nov 20, 2020
The course is a very comprehensive one and covers all state-of-the-art techniques used in NLP. It's quite an advanced level course and a good python coding skill is a must.
101 - Natural Language Processing with Attention Models 的 125 个评论（共 260 个）
创建者 wei z
•Dec 28, 2023
This NLP specialization is very well designed. I refreshed my AL learning at school years ago, and learned new things here.
创建者 Nicolas F V D
•Sep 23, 2021
It's a great way to get started with state-of-the-art NLP techniques, following the recommended papers is extremely useful.
创建者 Dmitri
•Dec 20, 2020
Great course! I understood a lot of things and got a valuable experience working with the state-of-the-art architectures 👍
创建者 Umberto S
•Apr 17, 2021
Really practical course. It seems the SOTA in NLP, touching Transformers, BERT, T5, Reformers. So I think it's worth it
创建者 Olawale S
•Mar 18, 2024
I would give this class 6 stars if possible. Topics were well explained and, at a good pace. Thanks to the team @DLAI
创建者 Ovidio M M
•Apr 17, 2021
This is a very recommendable course to understand state-of-the-art NLP techniques and models using neural networks.
创建者 Shahin Z
•Oct 27, 2020
Everything was great.
Slides & notebooks/exercise were amazing
The content is superb and very up-to-date.
创建者 rijal g
•Jul 6, 2024
From this course, I get the first principle in Attention Model and foundation of large language model!
创建者 Eliude V
•Jun 6, 2024
Excelente curso, conteúdo nota 10/10. Realmente aprende-se o que eles se propuseram à ensinar 👍🏽
创建者 Ruiliang L
•May 31, 2021
The course is good. If we download powerpoint and files in jupyter notebook, that will be great.
创建者 Ajay G
•Jul 21, 2021
Nice course to get the details of Attention with latest state of the art deep learning models.
创建者 Ricardo A
•Apr 26, 2024
I recommend NLP Attention Models course as now incorporates TensorFlow for the assignments.
创建者 Martin P
•Mar 22, 2021
Great course with great lecturers. Lecturers have clearly showed how far NLP research is.
创建者 Syed M F R
•Oct 10, 2020
Loved the last week of the course, stood out amongst the other 15 of the specialization.
创建者 Hoang V N
•Jun 2, 2025
Easy and straightforward explaination, this is one of the first course I can understand
创建者 Snehasish S
•Aug 24, 2023
Very Good course to understand the concept of transformer model and transfer learning
创建者 B S
•Oct 19, 2020
Critical to keep abreast of state of art models in NLP and new frameworks like Trax.
创建者 Pranjal K
•Dec 5, 2023
Amazing. Got the hard topics, very clear description. Huge Thanks and shoutout :)
创建者 Kam K
•Aug 18, 2021
I liked the BERT sections and references to the theory behind positional encoders
创建者 Yun-Chen L
•Nov 18, 2020
It's good course, you can learn a lot of model and basic concept like attention.
创建者 Björn R
•Oct 17, 2020
This course made the latest technology of NLP easy to understand and implement.
创建者 Madhur G
•Oct 13, 2020
It is great. It helps us to learn and implement the latest NLP architectures.
创建者 Frankenstyle
•Dec 30, 2020
One of the most comprehensive courses in NLP with challenging quizzes around
创建者 Bas v d R
•Oct 20, 2020
Incredibly interesting course showing state-of-the-art language modelling
创建者 Susan M
•May 25, 2023
Excellence in integrity of instruction including methods and community.