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學生對 deeplearning.ai 提供的 序列模型 的評價和反饋

4.8
28,072 個評分
3,363 條評論

課程概述

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....

熱門審閱

AM

2019年6月30日

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.

JY

2018年10月29日

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.

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1276 - 序列模型 的 1300 個評論(共 3,364 個)

創建者 Rishabh R

2020年7月26日

This course needs no introduction.....great content, great assignments!!

創建者 Rajat k s

2020年4月5日

it's a well-knit course for starters in rnn and takes upto a good level.

創建者 Stephen B

2018年9月30日

Great, I can see lots of parallel problems to work on using these ideas.

創建者 Greg L

2018年2月16日

Thank you for the fantastic course, and the superpowers it imparted! :)

創建者 Saqib N

2020年10月8日

Such a great course with content arranged and organized very carefully.

創建者 Leonid K

2020年5月12日

Amazing increase in knowledge about using RNNs in real-world scenarios!

創建者 Joao N

2020年5月9日

Really interesting and with enough theory plus hands on practical work!

創建者 Soroush H

2020年3月31日

this was the best course to understand sequence modeling and processing

創建者 Chaitanya P B

2020年3月17日

Learnt about NLP, applications, trigger word detection was pretty cool!

創建者 Siddhartha B

2020年2月29日

Thank you so much to the coursera deeplearning.ai team. You guys rock!!

創建者 Igor N

2020年1月15日

Curso muito bom! Ajuda bastante a ter uma base em modelos de sequência.

創建者 Hendri S W

2018年12月6日

A comprehensive review of recurrent neural network and sequence models.

創建者 Ram R

2018年5月20日

Great course! THanks for putting this together for the world to learn!

創建者 Yu Q

2018年5月6日

Very helpful and practical. Thank you Andrew NG and other teachers/TAs!

創建者 Benji T

2018年3月18日

Quite a heavy course. Still alot of concepts unclear, will revise again

創建者 Jan Z

2018年3月6日

Very informative, concise, well presented, builds necessary intuition.

創建者 Pankaj P

2018年2月19日

Perfect course to understand how does sequence model work in real life.

創建者 Chandan D

2021年6月28日

This is an amazing course to learn NLP ans seq models. I learnt a lot!

創建者 Bogdan-Ioan O

2020年7月16日

The best attention model explanation I found anywhere on the internet.

創建者 Renzo B

2019年11月19日

Excellent Course! I have nothing more to say. Thank you Sir Andrew Ng!

創建者 Юрий П

2019年8月3日

Exceptional review of the state-of-the-art techniques! Got me inspired

創建者 ramesh

2019年6月3日

The best content i can find and its taught by Andrew Ng, my favourite.

創建者 jason z

2019年3月26日

Cover many important topics.

Need more explanation on attention network

創建者 Edwin V

2019年3月24日

Good course. Have a better understanding of RNN now, and terminology.

創建者 林佳佑

2018年11月2日

this course is helpful learning basic sequence data,Thanks for courser