WZ
5.0Reviewed Dec 28, 2023
This NLP specialization is very well designed. I refreshed my AL learning at school years ago, and learned new things here.
Natural Language Processing with Attention Models
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.
Status: Natural Language Processing
Status: Applied Machine Learning
IntermediateCourse26 hours
Featured reviews
ND
5.0Reviewed 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.
RJ
4.0Reviewed Sep 28, 2020
Not up to expectations. Needs more explanation on some topics. Some were difficult to understand, examples might have helped!!
EG
5.0Reviewed Mar 5, 2023
Very well-designed and organized. Instructors are excelent. Some slides could be better; it would be great if that were fixed.
MN
4.0Reviewed Mar 27, 2021
The course covers cutting edge content and the exercises are well paced. Found the transformer lessons a bit difficult to understand.
AM
5.0Reviewed Oct 12, 2020
Great course! I really enjoyed extensive non-graded notebooks on LSH attention. Some content was pretty challenging, but always very rewarding! Thank you!
SN
5.0Reviewed Apr 9, 2023
This is a very useful course for learning attention technique. Teacher explained very clearly. Assignments were really exciting.
SB
5.0Reviewed 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.
AT
4.0Reviewed Oct 14, 2020
great course content but go for this only if you have done previous courses and have some background knowledge otherwise you won't be able to relate
MS
4.0Reviewed Oct 2, 2020
good course covers everything i guess, the only down side for me is trax portion, i would've prefered if it was on TF maybe, but still great job
DB
5.0Reviewed Jan 24, 2023
I learned a lot from this course, and the ungraded and graded problems are relevant to understanding and knowing how to build a transformer or a reformer from scratch
DS
5.0Reviewed Apr 28, 2023
The course is so great you should definitely check it out it will give you deep insight through Natural language processing.