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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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51 — 75 de {totalReviews} Avaliações para o Sequence Models

por Shantanu B

Dec 19, 2018

The toughest course in the deep learning specialization for me. Learnt a lot. Made me ready for further readings and consolidation of the materials.

por tianwengang

Dec 19, 2018

Thank you! Although I have been working on AI for more than a year, coursera has given me a more systematic understanding of my previous work, and many opinions have been very helpful to my work, thank you very much!

por mc.meng

Dec 20, 2018

课程非常好,我一定要把它推荐给我的朋友。

por Ayan M

Dec 19, 2018

Very good course providing excellent insight into the application of Deep Learning in NLP.

por Tomasz K

Dec 06, 2018

the best out of the 5 in the specialization.

por Michael K

Dec 06, 2018

Great course! Very informative, and delivered in a way that is easy to follow if you've taken the other courses in the specialization. Andrew has a gift for teaching.

por Pedro M H V

Dec 06, 2018

Great course: material, instructor, assignments, everything! Perfect way to introduce or consolidate your knowledge in recurrent neural networks to model sequence data with a really strong component of direct industry-relevant application.

por Adil F

Dec 06, 2018

Best course on sequence models.

por Hendri S W

Dec 07, 2018

A comprehensive review of recurrent neural network and sequence models.

por MAIZA H

Dec 07, 2018

great course !

por hrsu

Dec 07, 2018

useful

por Sri D B

Dec 21, 2018

Best!!!!!

por 张建楠

Dec 22, 2018

very good!!!

por gregorius a

Dec 09, 2018

Thank you, very great courses. Love it!

por Rebeen A H

Dec 09, 2018

Thank you very much

por Kadir K

Dec 09, 2018

Thank you Andrew Ng for the great tutorials. That absolutely shed lights ahead my career!

por 陈辉

Dec 10, 2018

虽然后面的课程准备没有machine learning 那么充沛,但是依然是很好的课程

por Jaime R

Dec 08, 2018

Everything you should know about Recurrent Neural Networks with some impressive demos

por Junfei S

Dec 10, 2018

The course content is great overall! The only thing I am a little unhappy is that one or two of the programming exercises have confusion instructions. But finally I made it under the help of peers on the discussion forum.

por Vinay M

Dec 08, 2018

The best course of the specialization

por Harold L M M

Dec 10, 2018

This Sequence Models and RNNs course was a very challenging course in the specialization similar to that of Convolution Networks. I've learned a lot on these topics, and I will continue expanding my knowledge from here on.

Overall, this is a great and complete specialization on Deep Learning.

Thank you professor Andrew Ng.

por John E S

Dec 24, 2018

Great lectures. Well thought out quizzes and exercises. The only negative point is that the exercises are too easy, they spoon feed too much of the code.

por Xiaonuo G

Dec 25, 2018

Great introduction to practical Keras-based deep learning algorithms, studies, techniques and delivered using Jupyter notebooks. Couldn't ask for a better approach to teaching machine learning

por Daniel G

Dec 11, 2018

Auch der Letzte Kurs war sehr gut! Diese Spezialisierung hat sich sehr gelohnt. Der Stoff wurde gut erklärt und war sehr gut anwendbar.

por Yoan S

Dec 11, 2018

Excellent state of the art deep learning models made easy. Great job Andrew! And THANKS SO MUCH!!!