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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.

JR

May 26, 2019

I am so grateful that Andrew and the team provided such good course, I learn so much from this course, I am so excited that see the wake word detection model actually work in the programming exercise

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276 — 300 de {totalReviews} Avaliações para o Sequence Models

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 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 Jiandong S

Mar 09, 2019

It took me a longer time to finish the course due to busy schedule. But I found it totally worth the struggle to work on the course material. Sequence modeling and processing is an new area to me. The course taught me some basic concepts and gave me a chance to lay hands on through programming exercises. I feel a lot like the topic particularly NLP. Thanks!

por Justin T

Mar 09, 2019

Great help by the mentors and community. Learned a lot here.

por Hyeon S J

Mar 10, 2019

Best Lecture

por Zifei S

Feb 13, 2019

Great course teaching state-of-the art NLP technologies. I wish the attention notebook could be improved, and the projects could get more flexible and in-depth. I also wish there could be a Keras tutorial that gives an overview of the framework.

por Youssef A S T

Feb 13, 2019

THANK YOU <3

por 梁礼强

Feb 13, 2019

Andrew is cool!!Nice course!

por Zoheb A

Feb 26, 2019

Assignments of this course are best.

por Yehua Y

Mar 11, 2019

thanks god, i have finished all the courses.I love it,thanks Pro. Andrew Ng, thanks all!

por Sarfaraz K

Feb 26, 2019

Awesome course, no other online course can match the depth and breadth of the content. State of the art information and super useful and practical assignments.

por Bayartsogt Y

Mar 10, 2019

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

por Adrian N K

Feb 14, 2019

It was an unbelievable journey through this Deep Learning Specialization! I really felt the power of the tools I obtained during the past 3 weeks that it took me to pass all 5 courses of the specialization. Many of the Programming Assignments are demanding and in the end I could be extremely satisfied that I succeeded in taking them all. Thanks a lot to Andrew Ng and all involved for making this sequence of courses accessible to people like me, and presenting it in such an understandable and interesting way! Now, I can start thinking of the vast potential for using Deep Neural Networks not only in Research and Space Sciences, where my interests are, but also in my daily life. Very many thanks again! AJ

por Lai y c

Feb 14, 2019

很棒的課程,我也會推薦我的朋友來學習,時間序列模型真的相當有難度推薦有學習過的朋友來試試看

por Lin Z

Feb 26, 2019

Very useful and practical!

por Mohamad K

Feb 26, 2019

Prof Andrew such a great person. He teaching from the heart where 99 % of Prof not doing it today.

He summarized Deep learning+ Computer vision+ NLP in easy way. I am thankful for Coursera and Prof Andrew. I strongly recommend this course and all his courses to everybody .

por pengren

Jul 16, 2018

A very helpful basic class :D

por Alexey K

Jul 15, 2018

Best course of an amazing series! Sums up every bit to complete the picture.

por Deepthi C

Jul 15, 2018

A good insightful course to understand

por Joaquin C D

Jul 15, 2018

Genial curso, he descubierto un nuevo mundo de aplicaciones de deep learning.

por Alexandre O d M B

Jul 15, 2018

Amazing course.

por Dipan M

Jul 15, 2018

Like all other course in this specialization, this is also indeed a great course. It fundamentally clears concepts and gives very clear concpts for topics such as RNN and LSTM, which can ohterwise can be difficult to digest. Also, the programming excersices, built on great topics, suh as Music synthesis, Trigger word activation, are exciting to work on. The only feedback I would like to suggest, is that topics of Backpropogation for sequence model is critical and should have been taken up indepth in study rather than left to excerciss only. Overall this course is more fast paced and packed 3 weeks which should have been perhaps a 4 week course.

por nguyennhutsam

Jul 10, 2018

It's great

por Margareth P

Jul 10, 2018

Excellent Course

por Brian N

Jul 10, 2018

Great course!!