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学生对 提供的 序列模型 的评价和反馈

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3,329 条评论


In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....



Jun 30, 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.


Oct 29, 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.


2951 - 序列模型 的 2975 个评论(共 3,330 个)

创建者 Fady B

Jun 1, 2018

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

创建者 Alireza S

Jun 18, 2020

great course to understand intuition of sequence modeling for NLP.

创建者 guolianghu

Apr 5, 2020


创建者 Bobby A

Jul 2, 2019

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

创建者 Martin T

Feb 13, 2018

Muy buen curso, resulta sumamente estimulante el ejemplo de woebot

创建者 Vikas C

Jun 20, 2019

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

创建者 Shilpa S

Mar 18, 2019

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

创建者 Andres R

Apr 2, 2018

Excellent lectures. Some programming exercises need more clarity.

创建者 Armand L

Apr 28, 2019

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

创建者 Julio T T

Sep 28, 2020

Exercises have less quality than the ones in previous courses.

创建者 Josele F

May 29, 2019

El curso esta muy bien peor deben añadir subtitulos en español

创建者 Marisa F

Nov 18, 2018

I think this course needs to have a continuation to go deeper.

创建者 Alex N

Mar 27, 2018

Grader was wrong sometimes. Typos everywhere in the notebooks.

创建者 muhammad A

Nov 15, 2020

awesome, but need more animation for understand general works

创建者 Akshay g

May 14, 2020

Good course but can add more models to get a deep dive in NLP

创建者 Xinyu Y

Jul 1, 2019

There is some noise in the video which is greatly disturbing.

创建者 SeptemberHX

Jun 30, 2018

Maybe should give some advice about the future learning path.

创建者 Vitor A

May 28, 2020

Great course focus on natural processing and music examples.

创建者 Alvaro C

Jul 29, 2019

Much harder than previous ones, but also really interesting.

创建者 Jedrzej P

Apr 29, 2018

Would have liked an example outside of nlp, otherwise awsome

创建者 Dejoli T T L

May 8, 2022

very important course concerning sequence in Deep learning.

创建者 Anand B

Aug 20, 2018

Content is little less intuitive compared to other courses.

创建者 Anugna R

Jul 15, 2020

codes are too long and it is taking time for codes to run

创建者 Hassan E

Mar 2, 2019

Greeeeeeeeeeeeeeeat but less than the first four courses.

创建者 KIT M C

Nov 13, 2019

The program in the exercise is a bit hard to understand.