Chevron Left
返回到 序列模型

学生对 deeplearning.ai 提供的 序列模型 的评价和反馈

4.8
27,234 个评分
3,246 条评论

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

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.

AM
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.

筛选依据:

2751 - 序列模型 的 2775 个评论(共 3,242 个)

创建者 Allan C M

Apr 18, 2018

The exercises are somewhat tough for this exercise I think the time should be extended by one week extra to complete the assignment.

创建者 Jinfeng X

Nov 29, 2019

The material is great. On the other hand, if we could get a lecture on Keras, it would help us work on the programming assignments.

创建者 Marvin J A

Mar 7, 2020

Besides some technical difficulties in the notebook (and some minor details in the video quality) the course was very informative!

创建者 Alexander T

Jan 2, 2019

Overall well executed course and sequence. You'll pick up RNN essentials and use Keras/Tensorflow to work through simple examples.

创建者 raghuveer n

Feb 18, 2018

Video editing is bad and assignments have lots of inconsistent wording and bugs, apart from that knowledge wise really good course

创建者 sudhir k

Dec 23, 2019

Course was very good and I learned a lot. I think assignments can be more open ended to encourage students to try multiple ideas.

创建者 Vaibhav C

Feb 20, 2018

Assignments were confusing in when they seemed to work but graded wrong and sometimes they were graded correct but didn't work.

创建者 GOURAB G R

Feb 16, 2018

Some programming assignments have few errors in them (wrong equations, wrong expected output etc.) which need to be corrected.

创建者 Alisa K

Feb 7, 2018

This course is very useful!!! I want to give you 5 stars but there are a lot of bugs on your practice course. Please check it.

创建者 Samuel W

Aug 24, 2018

Great course. My only complaint is about the assignments. The weren't as polished as in other courses in this specialization.

创建者 Vanja T

Feb 18, 2018

There were some puzzling parts to the programming assignments (number of trainable parameters), but overall very good course.

创建者 Amit R B

Jan 28, 2020

Excellent course overall, but the programming assignments left me feeling a it unprepared considering the previous lectures.

创建者 Siddharth

May 27, 2020

Very nicely explained and grateful for that. However, The assignements are little hard to follow from the previous courses.

创建者 Joachim A

Dec 21, 2018

I am grateful for this course, it literally is redefining my career and what I want to do. Thanks for the excellent course!

创建者 Marijan S

Apr 9, 2020

Some excercizes were subpar, and some were not interesting, but all in all very good course in which one can learn so much

创建者 Vamsi V

Oct 6, 2019

assignments were good if there is any direct interaction, taking input from the writer itself will be too much excitement.

创建者 Shubhankar K

Jun 29, 2021

A little much in not so much amount of time. Could have had more videos. Otherwise great course and great course material

创建者 Himanshu A

Sep 28, 2018

Good introduction to RNNs, text/music generation, NLP etc.

Very comprehensible for intermediates and even beginners in ML.

创建者 Qiang C

Feb 26, 2018

The low-level framework, such as torch, should be used in the assignment. keras is complicated to understand for newbie.

创建者 Anxo T A

Nov 22, 2020

Great course, specially the programming assignments, they help much mor than the videos to undertand the core concepts.

创建者 Holman B

Mar 15, 2019

Had some issues related with the jupyter notebook. Sometimes I had to restart the kernel to get the keras model working

创建者 Anand S

May 7, 2020

I think a totally different course for NLP & CNN neeeds to be rolled out including their implementation in tensorflow.

创建者 Marcin K

Sep 30, 2019

Last notebook causing server problems. Large amount of material (theory) covered by compressed programming excercises.

创建者 Naveen K m

Jul 7, 2019

Great course content and well explained by Andrew, looking forward to apply the learning to solve real world problems.

创建者 Agustín D

Apr 10, 2018

Some items on the assignments were confusing or misleading. But the content of the course was rich and well explained.