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學生對 deeplearning.ai 提供的 Sequence Models 的評價和反饋

4.8
21,557 個評分
2,459 條評論

課程概述

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....

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WK

Mar 14, 2018

I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!

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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2126 - Sequence Models 的 2150 個評論(共 2,439 個)

創建者 Boyu L

Mar 15, 2018

I wish there was a more thorough tutorial on the Keras programming environment.

創建者 Saurabh

Feb 12, 2018

Another awesome course. But I feel Word Embeddings part could have been better.

創建者 Moustapha M A

Mar 14, 2018

A very good course in terms of application , again Dr. Ng did an excellent job

創建者 Kevin H

Mar 08, 2019

The course is great but I was hoping to have a part about time series inside.

創建者 Yogesh J

May 26, 2020

Please allow students to complete assignment from scratch. Without any help.

創建者 Philippe T

Oct 29, 2018

More exemple than Only NLP would have been nice ! But overall a great course

創建者 Emanuel V

Apr 02, 2018

This is a good course. However, this topic deserves much more detailed work.

創建者 J V

Apr 24, 2020

Great Content with real-time example looking forward to doing more courses

創建者 Andrius T

Nov 02, 2019

Please remove repetitions from videos, really annoying thing. Great job :)

創建者 Luca C

Oct 13, 2019

Awesome notebooks to gain practical experience with deep learning systems.

創建者 Philippe A

Oct 21, 2018

This course is very interesting! Again! It requires basic Keras knowlegde.

創建者 EZ

Feb 18, 2018

Course is excellent. Assignment, however, could use some more refinement.

創建者 Sebastian M D

Apr 08, 2019

need some reviewing in the optional parts of the programming assignments

創建者 Guan W

Mar 11, 2018

Excellent course content, but poor maintenance of programming assignment

創建者 Filip V

Feb 25, 2018

Provides good exposure to sequence models for NLP and speech processing.

創建者 Mandeep S G

Jan 25, 2020

Great exercises but videos were slightly rushed. Overall a good course.

創建者 Vinod C

Apr 29, 2019

Good course. Feel a little bit rushed. Difficult to retain the concepts

創建者 Chen L

Mar 14, 2018

The content is great, but the programming exercises are full of errors.

創建者 Xiao

Mar 08, 2018

Some techniques for keras need to be clarified. Generally a good course

創建者 Vamvakaris M

Sep 08, 2019

It required coding on keras and tensorflow not appropriate introduced.

創建者 Rafael B d S

Aug 07, 2019

The Course is great! But the programming assignments has too many bugs

創建者 Gorden

Dec 12, 2018

it's very difficult to submit last programming exercise "trigger word"

創建者 Emanuel G

Dec 13, 2018

Great introduction to LSTMs, RNNs, GRUs, NLP and speech recognition.

創建者 Nilesh R

Mar 20, 2018

Great content but I felt it was bit rushed and squeezed in 3 weeks .