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Kursteilnehmer-Bewertung und -Feedback für Sequence Models von deeplearning.ai

4.8
18,120 Bewertungen
1,964 Bewertungen

Über den Kurs

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....

Top-Bewertungen

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.

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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151 - 175 von 1,941 Bewertungen für Sequence Models

von Lucas G S P

Jan 21, 2019

I appreciate all the hard work and effort Andrew and his team puts in all his material.

I had hard time with most of Keras homework’s, I think it's hard to get the overall logic of a framework without an extensive explanation.

Besides that, the topics discussed are amazing.

von Gordon W

Jan 21, 2019

Thank you very much Andrew and TAs.

von Fernando H F

Jan 21, 2019

Great course! Andrew is great in explaining complex definitions with simple and understandable explanations. The course goes deep in multiple applications of Sequence Model for Time Series Data, and the programming exercises are challenging and rewarding.

von Aleksa G

Jan 20, 2019

I really liked this last course as I did not have much experience with NLP and with audio in general, as I did have with computer vision and image processing. The keyword detection model is really cool! After this specialization I am starting to build my own ML projects!

von Daniel M M

Jan 10, 2019

Extremely clear and useful. Natural Language Processing, Speech Recognition and Automatic Translation are now concepts much more clearer and close for me.

von Alejandro R

Jan 09, 2019

This course was a great introduction to the world of RNNs. Starting from basic sequence models all the way through RNNs constructed with Convolutional layers, LTSM layers, GRU layers and wrapping up with the Attention Algorithm. It is great base work to start a Deep Learning career. The course is very well structured and the resources in the forums were always life-saving. Very grateful for this course and I am waiting for the Advanced Specialization from Deeplearning.ai

von Zongyu Z

Jan 11, 2019

Lots of materials and excellent case studies!

von Prasanta G

Jan 11, 2019

The excercise gave very little room to learn and everything was mostly spoon fed

von Siddharth B

Jan 11, 2019

I am grateful to Professor Andrew Ng. and the entire team of deeplearning.ai for giving me the platform to learn, practice and showcase the deep learning concepts in such an elegant and concise manner. The journey has truly been educative and enlightening and I look forward to applying the concepts and skills in my further endeavors.

von YanDing

Jan 22, 2019

very good

von Justin K

Jan 24, 2019

Fantastic course as always by Andrew Ng

von 朱荣鑫

Jan 25, 2019

Excellent as before.

von EL-KADDOURY M

Feb 09, 2019

thanks

von Emmanuel J A

Feb 09, 2019

Great course on how RNNs work and how they are used to solve real problems (speech recognition, translation, names generation, music generation...).

von Syed M H J

Feb 10, 2019

Simply the best!

von Dipak K S

Feb 07, 2019

The course was challenging

von Akash G

Feb 06, 2019

hard to beat

von Prasenjit P

Feb 06, 2019

Great!!!

von Jefferson D R C

Feb 11, 2019

Very Good

von 张明

Feb 11, 2019

无法打开编程作业

von Wei L

Feb 12, 2019

Thank you!! Very much appreciated!

von 梁礼强

Feb 13, 2019

Andrew is cool!!Nice course!

von 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.

von Yingyu F

Feb 15, 2019

Great course on sequence models! I never hear do detailed course

von 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