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Comentários e feedback de alunos de Sequence Models da instituição deeplearning.ai

4.8
estrelas
19,278 classificações
2,094 avaliações

Sobre o curso

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and many others. You will: - Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. - Be able to apply sequence models to natural language problems, including text synthesis. - Be able to apply sequence models to audio applications, including speech recognition and music synthesis. This is the fifth and final course of the Deep Learning Specialization. deeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content....

Melhores avaliações

WK

Mar 14, 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

AM

Jul 01, 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.

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1776 — 1800 de {totalReviews} Avaliações para o Sequence Models

por Brandon C

Dec 11, 2018

Keras exercises tough to get through based on provided information, but the content was superb as always

por Paul H C

Nov 19, 2018

Really good course. Exercises are not always connected to the core of the deep learning problem though..

por Sharon M

Sep 19, 2019

The course is great , in the assignments it is better to stick to single package and TF is preferable.

por Jorge L

Jan 29, 2019

Highly recommended course to understand the concept of speech recognition models, very real use cases.

por Zhiliang W

Jan 25, 2019

Great lectures. The quality of exercises are also amazing, although some typos should be fixed asap.

por Zhao C

Apr 20, 2019

Great class. However, they are some typos/mistakes in the explanations of programming assignments.

por Amiya M

Oct 21, 2018

learned a lot but I wish their should be some sort of referencing material for further exploration

por Alex R

Feb 25, 2019

Lecture content is pretty good. Exercises are much more finicky (less robust) than prior courses.

por MD Q A

Apr 09, 2018

more excercise should be there in last course, but overall content was very good

thanks Andrew ng

por M S S

May 14, 2018

The Attention model still needs more explanation. I haven't completely grasped attention models

por Jon-pierre H

Feb 28, 2018

More errors than most in the projects. Likely due to the rush of getting this final course out

por Alex F

Apr 08, 2019

My only complain is Keras. A crash course/lecture on Keras would benefit this course a lot!

por Phuong-Khanh H

Aug 23, 2018

The course is of high quality. However, it is not as good and clear as the previous courses.

por Wes H

Apr 15, 2018

Content needs a few improvements in quality but otherwise a valuable and instructive course.

por harm l

Feb 19, 2018

Fine training, had some tchnicalities with the pythonn notebook which cost me loads of time.

por Cze H Y

Aug 16, 2018

Perfect course except there are are some mistake/ambiguous instruction in course assignment

por Sven S

Aug 09, 2019

a lot to learn, content is well presented as usual. one of the assignments requires rework

por 朱涧江

Mar 21, 2018

Seem like not as good as before course,Wait so much time but is not clear as course before

por Glorian Y

Oct 30, 2019

There are many bugs in the assignment. Else, the material content and videos are great!

por Ryan B

Mar 19, 2019

Really good but I guess you should teach more about how to apply all these models more.

por Zhe C

Nov 04, 2018

Too many errors are in assignments. Also, Some APIs from Keras are not well explained.

por Ankoor B

Feb 21, 2018

The assignment code instructions (specifically the code comments were very confusing).

por Ming M

Jan 14, 2019

I feel the programming assignments should be revised. I have encountered many errors.

por Hector M

Feb 19, 2018

There were a couple of problems with the grader that made this course less enjoyable.

por Keith l

Sep 12, 2018

some of the auto graders were a bit buggy, but overall loved the course and material