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Voltar para modelos de sequência

Comentários e feedback de alunos de modelos de sequência da instituição

28,154 classificações

Sobre o curso

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

Melhores avaliações


30 de jun de 2019

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.


12 de jul de 2020

brilliant course, great quality instruction from Andrew Ng. The only faults are that some of the labs have not been supervised properly being a but buggy and a couple of later lectures were very dry.

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801 — 825 de 3,377 Avaliações para o modelos de sequência

por Alan K F G

11 de out de 2020

I could learn Attention and Sequence models in a quite easier way. The instructors really put their best in the lectures and labs.

por Xia H

14 de ago de 2019

Very informative and great lectures like always! I learned a lot important things about sequence models. Thank you Prof. Ng again!

por Colin J

2 de jun de 2019

Fantastic introduction to RNNs, LSTM, etc. Very accessible material but detailed enough to take it away and use it. Thanks Andrew!

por andymikow1

15 de dez de 2018

Very good course to start dealing with RNN's.

Thank You Andrew for Your whole specialization. Now i feel like a superhero on a rise

por rahul s

13 de jun de 2018

Great assignments! good hands-on coverage of basic python, high-level Keras and low level TensorFlow frameworks for Deep Learning.

por RB

15 de mar de 2018

Excellent course to learn about speech recognition and translation! This has been an excellent 5-course journey. Good luck to all!

por Parth V

26 de mai de 2022

Very well structured course and kind of made me comfortable with DL terminology. Cant wait to start a career as a Data Scientist.

por Piyas C

25 de ago de 2020

Thank you, Professor Andrew Ng, for this nice and excellent specialization course with wonderful and constructive lecture videos.

por Sreenivas M

18 de fev de 2020

Most fun and toughest course of the lot. Text data is always more complex, hard to analyse and model in comparison to image data.

por Matthew C

19 de jun de 2018

While the grader was a bit flaky (which was super frustrating), everything else was, as usual, top notch. Thanks Andrew and crew!

por John M

31 de mai de 2018

High quality lectures and interesting, relevant jupyter notebook exercises. This is a great course at a very reasonable tuition.

por rfricks

17 de fev de 2018

Another amazing course developed by Dr. Ng! This series of courses probably is the best deep learning training available on-line.

por shin s

16 de fev de 2018

This is an amazing course! I am looking forward to more courses/specialization from DeepLearning.AI team in the coming months :)

por Madhumita B

28 de jan de 2020

Wonderfully explained and well structured course work. The programming assignments really boost the confidence on subject matter

por Abhishek T

5 de jan de 2020

I thank Andrew Ng and the team for such wonderful content be in terms of programming assignments or video lessons. Great work!!.

por Tahir M

1 de abr de 2018

Very-well designed course. Assignments make it easy to practice learned concepts. I enjoyed the course and learnt a lot. Thanks!

por Venkateshwaralu S

17 de fev de 2018

A well crafted course that introduces even the most meek and uninitiated to the world of sequence models driven deep learning :)

por Claus M

10 de mai de 2021

Excellent. It is a very complete course on the subject. It teaches many state of the art algorithms with very explanatory labs.

por Muhammad I

14 de jan de 2021

Awesome to complete and acquire new dimensions of course to boost skills in the AI paradigm. Thanks to Coursera and Instructors

por Mohamed M K

27 de mai de 2020

Many thanks Andrew Ng, your way of teaching things is so motivating and captures attention for sure. you're simply the best !!!

por YanLiu

6 de mai de 2020

Very detailed comments and carefully prepared contents. I feel my time spent on the course well worth it and thank you so much!

por Reina S

1 de abr de 2019

I understood LSTM concepts well thanks to the course. But explanation for equation is quick. I wanted to know the more details.

por Ashutosh P

28 de jul de 2018

Really good explanation on even the smallest of things, that's what I like about Prof. Andrew, he never leaves a page unturned.

por BaronChen

23 de jun de 2018

jupyter notebook always can't submit, and can't save . I have spent more than 2 hours to submit a train ~ . But course is well.

por HouJP

22 de abr de 2018

Always can't submit assignment and there is no instruction about how to submit in json format.

Thanks NG! Great teacher! Thanks!