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Learner Reviews & Feedback for Natural Language Processing with Attention Models by DeepLearning.AI

4.4
stars
1,053 ratings

About the Course

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....

Top reviews

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.

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251 - 253 of 253 Reviews for Natural Language Processing with Attention Models

By Sudhanva S

•

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

By 何雪凝

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Aug 7, 2024

Unclear explanation everywhere. Homework assignment cannot be graded

By Ignacio d l S

•

Jan 8, 2022

Too easy. I can say I almost didn't learn anything.