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

4.8
19,017 個評分
2,055 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....

熱門審閱

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.

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!

篩選依據:

1776 - Sequence Models 的 1800 個評論(共 2,031 個)

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 .

創建者 Alex M

Mar 14, 2018

The quality was a bit down but still very worthwhile and interesting

創建者 Vivek K

Jul 20, 2018

Great practical experience. Would have preferred a bit more theory.

創建者 Fady B

Jun 01, 2018

it covered a lot of interesting topics but it was a bit high level.

創建者 Bobby A

Jul 02, 2019

Well explained, I feel like it could go a bit more in depth though

創建者 Martin T

Feb 13, 2018

Muy buen curso, resulta sumamente estimulante el ejemplo de woebot

創建者 vikas c

Jun 20, 2019

The good course as the theoretical basis for RNN and other models

創建者 Shilpa

Mar 19, 2019

Attention Models is not that clear. Everything else is excellent.

創建者 Andres R

Apr 02, 2018

Excellent lectures. Some programming exercises need more clarity.

創建者 Armand L

Apr 28, 2019

Very hard, but not your fault, very good course ! Thank you !!!!

創建者 Jose L F L

May 29, 2019

El curso esta muy bien peor deben añadir subtitulos en español