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Back to Natural Language Processing with Sequence Models

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

4.5
stars
1,176 ratings

About the Course

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 鈥楽iamese鈥� 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. 艁ukasz 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

AK

Aug 6, 2020

It was a bit repetitive of the 'Sequence Model' course from the Deep Learning specialization, only with the exception of implementing in TRAX.

AB

Nov 12, 2021

This is the third course of NLP Specialization. This was a great course and the instructors was amazing. I really learned and understand everything they thought like LSTM, GRU, Siamese Networks etc.

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101 - 125 of 241 Reviews for Natural Language Processing with Sequence Models

By Murat K

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Jan 3, 2021

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

By 袪芯屑邪薪 袥

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Aug 3, 2020

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

By Timothy G

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Sep 23, 2020

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

By Christoph H

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Aug 17, 2020

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

By Martin P

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Mar 23, 2021

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

By kunal c

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Mar 21, 2022

Really helpful in understanding and implementation of RNN and LSTM.

By Ufuk H

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May 14, 2021

Great course, with clear explanations and well designed assignments.

By Utku T

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Feb 25, 2021

Awesome course! I learned many theoretical and practical techniques.

By SACHIN S

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Nov 12, 2020

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

By Reza M M

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Jul 4, 2022

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

By Eugenia M

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Nov 13, 2021

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

By Esteban G

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Feb 10, 2021

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

By Nguyen T D

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Oct 1, 2020

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

By AVIJIT J

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Oct 27, 2023

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

By Rui A

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May 11, 2021

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

By rishabh k

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Sep 10, 2021

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

By Najrin S

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Jul 30, 2021

A great course. Everything was explained so clearly.

By Adarsh V

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Aug 16, 2020

Great compact ad very useful course curriculum.

By Kader D

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Oct 7, 2020

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

By stephane d

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Sep 11, 2023

Great Courses as usual with Deeplearning.ai!

By Moustafa S

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Sep 16, 2020

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

By Luis A

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Sep 27, 2020

Excellent course on advanced topics in NLP.

By GUBERNEY M S

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Mar 21, 2021

Very clear and excellent to practice code.

By Ruan L D

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Oct 1, 2020

good assigments and fast videos, very good

By Ajay G

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Jul 25, 2021

Informative course on Sequence Models