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

4.8
18,065 classificações
1,958 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.

SD

Sep 28, 2018

Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.

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226 — 250 de {totalReviews} Avaliações para o Sequence Models

por Qasid S

Mar 12, 2019

Really an amazing course. :)

por Quang L V

Mar 12, 2019

Very good

por 陈浩然

Mar 12, 2019

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

por Hardik A

Mar 05, 2019

The kind of simplicity with which the course is explained and the amount of knowledge gained is worth the hard work of many months! . . I would like to thank the whole Coursera team and Sir Andrew Ng for creating such a wonderful platform and a big shout-out to all the mentors and community who have replied to the most basic queries in the discussion section.

por Gilvandro F d M N

Mar 05, 2019

great course!

por Biniam P

Mar 04, 2019

A great course for everyone who wants to use deep learning for natural language processing.

por ENRIQUE A C A

Mar 04, 2019

Excellent course!!! Dr. Ng is the best

por Shirish P

Mar 13, 2019

Best

por 唐章源

Mar 14, 2019

great

por Camilo G

Mar 14, 2019

Great course

por 杨伟

Mar 14, 2019

A Very Excellent Course!!!

por Yashpal

Mar 05, 2019

A awesome course !! Thanks zillion Andrew !! You are great !

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 Juilee D

Mar 15, 2019

Very beautifully taught

por Sasagu T

Mar 08, 2019

Finally I think I am ready to read more papers

por Duc T

Mar 07, 2019

Great course! As usual, very clear and detailed explanation, break down tough concepts into simpler terms. I've learnt a lot from the course. Thank you so much, Prof. Andrew Ng and your team!

por Thant H M

Mar 08, 2019

One of the best online teaching and learning site.

por Akash C

Mar 08, 2019

Excellent Course......

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 Juandiego M

Jan 05, 2019

Another fantastic class by Andrew Ng! I learned a lot in this class, and in the Deep Learning Specialization in general.

por Tian Q

Jan 06, 2019

Great content! Andrew's lectures are great as always. The assignments are absolutely exciting and fun. Obviously the team put a tremendous effort on the programming exercises to make them doable for laymen yet not trivial. The exercises avoid using libraries (like Keras and TensorFlow) at the very beginning. Instead, they started with the more basic Numpy implementations. After these practice, I am able to grasp what each layer is actually doing.

My only suggestion is to correct some trivial typos in the Notebook.

por Ali S

Jan 05, 2019

Finally, I understood LSTMs, thanks to this course, thanks to Andrew! Before this course, I spent many hours reading papers on LSTMs and trying to figure out what is going on with all these "Gates", but couldn't understand intuitions behind them. In this course not only I learned and understood them, but also I learned a lot about machine translation and speech recognition which I was frightened to approach them. This course gave me all fundamental concepts and tools that I needed to be able to deal with sequential data.

por Yusri D H

Jan 06, 2019

The course is very fun and clear.

por Vladimir L

Jan 05, 2019

This is a great course, it gave me a good overview of how various types of data (written text, speech, images/video) are used in neural network models. The course materials smartly omit complexities behind pre-built deep learning models, and provide students with hands-on examples, which spark creativity and imagination. Thank you!

por 张建楠

Dec 22, 2018

very good!!!