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

4.8
26,485 个评分
3,125 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

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.

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!

筛选依据:

2751 - Sequence Models 的 2775 个评论(共 3,095 个)

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 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.

创建者 Galvin W

Feb 23, 2018

Good when it came. Annoying for the 2 month launch delay

创建者 David N

Apr 26, 2020

i'd like to have applications more suited to real world

创建者 Vikas K

Mar 31, 2019

it would have been better if he used more visualization

创建者 Jarosław G

Jan 21, 2019

There were a lot of problems with notebook task grader.

创建者 Nick J

Mar 11, 2018

Great course, but too many mistakes in the assignments.

创建者 Aloys N

Oct 22, 2019

Good content, it would have been good to do more keras

创建者 Rakesh k k

Feb 22, 2021

Really Nice course to get basic understanding of NLP.

创建者 吴科炜

Feb 16, 2021

Trigger word detection: submit homework is so hard...

创建者 Johannes J

Jun 27, 2019

Great insights, helpful notebooks, good explanations.

创建者 Karol K

Feb 26, 2018

Again, programming assignment should work flawlessly!

创建者 Roberto G

Apr 5, 2020

un poco lentos los ejercicios y repetitivos comandos

创建者 Saurabh P

Feb 17, 2018

Very good introduction to RNNs and their variations.

创建者 Jetro G K

Jul 24, 2018

Muy difícil en comparación con los demás anteriores

创建者 Kamran K

Apr 11, 2021

I would prefer to be the student of Sir Andrew Ng.