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学生对 DeepLearning.AI 提供的 Sequence Models 的评价和反馈

4.8
31,102 个评分

课程概述

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....

热门审阅

MK

Mar 13, 2024

Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects

JY

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.

筛选依据:

3376 - Sequence Models 的 3400 个评论(共 3,818 个)

创建者 Xirui Z

Apr 7, 2021

Instructions for labs are not clear enough, especially the layers part.

创建者 Mandeep S G

Jan 25, 2020

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

创建者 Vinod C

Apr 28, 2019

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

创建者 Chen L

Mar 14, 2018

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

创建者 Xiao

Mar 8, 2018

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

创建者 Jon M

Jul 7, 2021

I liked this particular set of lectures, too, now on to something new.

创建者 Vamvakaris M

Sep 8, 2019

It required coding on keras and tensorflow not appropriate introduced.

创建者 Rafael B d S

Aug 6, 2019

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

创建者 Pete H

Dec 11, 2018

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

创建者 Ishan S

Jun 27, 2020

More clarification on what we are doing in the programming exercises

创建者 Emanuel G

Dec 13, 2018

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

创建者 Nilesh R

Mar 19, 2018

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

创建者 Alex M

Mar 14, 2018

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

创建者 Vivek K

Jul 20, 2018

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

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

课程虽然很短,只有三周的课程,但难度明显比之前四门课程要大,编程练习一共有7个,第一周的三个是最难的。但仍然是最优秀的深度学习课程。

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 1, 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