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学生对 deeplearning.ai 提供的 Sequence Models 的评价和反馈

4.8
26,419 个评分
3,114 条评论

课程概述

In the fifth course of the Deep Learning Specialization, you will become familiar with NLP models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and more that have become possible with the evolution of sequence algorithms thanks to deep learning. By the end, you will be able to build and train Recurrent Neural Networks 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. DeepLearning.AI is proud to partner with NVIDIA Deep Learning Institute (DLI) to provide a programming assignment on Machine Translation with Deep Learning. Get an opportunity to build a deep learning project with leading-edge techniques using industry-relevant use cases. The Deep Learning Specialization is our 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 gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

热门审阅

WK
Mar 13, 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!

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:

2776 - Sequence Models 的 2800 个评论(共 3,089 个)

创建者 ANDREW ( G

Jan 20, 2020

A little bit less quality than the previous ones.

创建者 Hemanth M

Jul 31, 2019

More programming examples/exercises would be good

创建者 tusheng w

Apr 18, 2018

useful to familiar with RNN, GRU, LSTM and so on.

创建者 SuperChen

Feb 12, 2018

Exercises are a bit tough and misunderstanding...

创建者 Wan N

Apr 15, 2020

It will be nice if the videos are more detailed.

创建者 Marco M

May 17, 2018

The course was really interesting and well done

创建者 Devid

Jun 4, 2019

One task has a bug and impossible to complete.

创建者 Chen L

Apr 6, 2018

hope there are more projects about time series

创建者 Erick Z

May 18, 2019

The programming assingments have some errors.

创建者 Mohit k

Jul 4, 2018

Amazing Course with Awesome practice problems

创建者 Jayadev

Mar 3, 2018

not as fun as CNN course but still so useful!

创建者 Ray (

Apr 18, 2020

a little bit too hard for the sequence model

创建者 Nitin J

Apr 17, 2019

I found this course bit difficult to grasp.

创建者 Debasish D

May 16, 2020

Good but too long to follow with patience

创建者 Robert L

Apr 21, 2020

Very good introduction to sequence models

创建者 tchaton

Apr 23, 2018

Great courses. Only 4 because too short !

创建者 Omar A

Mar 20, 2018

More In depth optional videos are needed.

创建者 Arjun A

Jun 6, 2020

I found it not that easy to comprehend.

创建者 Rohit P

Dec 25, 2019

The assignments were mostly copy paste.

创建者 dieter j

May 30, 2019

Not that interesting for me personally.

创建者 吴致远

Dec 7, 2018

jupyter notebooks with a bunch of error

创建者 Sam P

Dec 15, 2018

Fantastic lectures and helpful quizzes

创建者 David D

Jun 2, 2018

Notebooks seemed to be made in a hurry

创建者 Dr. H H W

Sep 22, 2019

good insights for RNN and time series

创建者 Miguel V

Dec 16, 2018

Some of the tests were a bit too easy