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

4.8
16,059 classificações
1,756 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

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.

JY

Oct 30, 2018

The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.

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201 — 225 de {totalReviews} Avaliações para o Sequence Models

por Bayartsogt Y

Mar 10, 2019

That was such as fun! Thank you so much!!!

por Quang L V

Mar 12, 2019

Very good

por CHAKER O

Mar 12, 2019

thank you andrew ng you are the best teacher in all the world i'm very happy to study with you chaker from tunisia all my colleague love you

por 陈浩然

Mar 12, 2019

I have learned a lot from this course. Thanks, Andrew Ng!

por Qasid S

Mar 12, 2019

Really an amazing course. :)

por Juilee D

Mar 15, 2019

Very beautifully taught

por Shirish P

Mar 13, 2019

Best

por 唐章源

Mar 14, 2019

great

por 杨伟

Mar 14, 2019

A Very Excellent Course!!!

por Camilo G

Mar 14, 2019

Great course

por Gopi P V R

Mar 16, 2019

It's great course to get concepts right and overview. It will be great if you add further programming assignments(other than partially coded ones) or resources as such where one can practice what he had learned as optional.

por Raivis J

Mar 18, 2019

This is the hardest course in the specialisation, and may take some extra effort. For practical assignments I recommend getting familiar with Keras syntax and workflow, as here there is little hand-holding here,. the focus is on actual model architecture and algorithms.

por Kishan S

Mar 19, 2019

Excellent!

por Jan N

Jan 13, 2019

Awesome!

por SUHAIL H

Jan 12, 2019

Thanks!!! i owe you a lot Prof Ng. Thanks again

por samiran

Jan 12, 2019

Great course by Andrew Ng! The man is a legend.

por Philip W S K

Dec 27, 2018

Wonderful course series to get quick start on AI learning.

por Shravan M

Dec 27, 2018

Very thankful to Professor Andrew and course instructors and mentors.

I have learned a lot and feel very confident going forward applying the deep learning skills I have learnt. THANK YOU !!!

por 罗炜儒

Dec 14, 2018

该门课程对序列模型的讲解由浅入深,一步步带领我们从最基础的RNN走到最后的LSTM及更复杂的模型,作业十分有趣,尤其是课程最后一次作业能让我们真切感受到深度学习的力量及其给我们的作业

por Mukund C

Dec 14, 2018

Best in the series

por Michał K

Dec 15, 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 Sushanta P

Dec 15, 2018

Andrew Ng at it best.

por Octavian S

Jan 14, 2019

Excellent.

por Constantine E

Jan 14, 2019

Excellent course!!!

The only feedback for improvement is that it took me much longer time to complete the homeworks than advertised. So probably the work estimates need to be refined.

por Amir H

Dec 29, 2018

Amazing course with very useful and fun assignments.