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學生對 deeplearning.ai 提供的 序列模型 的評價和反饋

4.8
27,839 個評分
3,328 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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1401 - 序列模型 的 1425 個評論(共 3,329 個)

創建者 Ghazi H

2022年5月22日

A​mazing, best course to start learing about AI, ML, and DL

創建者 徐晴晴

2021年3月5日

讲解通俗易懂,编程的例子是一些很好的实际小项目,不仅增长了关于DL的基础知识,也通过这些例子对DL有了更深入的物理支局

創建者 Walker J

2020年12月29日

This is a great course. Well structured and easy to follow.

創建者 Federico A

2020年6月16日

Great course! I am looking forward to apply RNN in my work.

創建者 Manpreet S

2020年4月9日

really good course to help you understand all types of rnns

創建者 Sophie Z

2020年4月4日

LSTM is by far the most complicated programming assignment.

創建者 Aniket S

2020年3月2日

Excellent starting point for understanding sequence models.

創建者 Mohamed C S

2018年9月10日

Excellent just like the other courses of the specialization

創建者 Anik J

2018年7月4日

It is one of the best series of courses for Deep Learning!!

創建者 Pankaj M

2018年4月4日

Can't beat Andrew Ng's teaching whether it's CNN or LSTM...

創建者 Deleted A

2018年3月30日

Great course with fun and relevant programming assignments.

創建者 Dr. R M

2018年3月30日

Great lectures combined with great exercises. Professional.

創建者 YASIN M

2018年2月21日

Awesome as always! Thanks Andrew! Loved the specialization.

創建者 Joseph L

2018年2月17日

Very useful course, and it has very good demo applications.

創建者 Ronakkumar N P

2020年9月6日

This course gave me a good knowledge of sequential models.

創建者 Ricardo A J C

2020年8月8日

Very good course on language networks with emphasis in RNN

創建者 dbw413

2019年5月29日

The course worth learning, but the exercises can be better

創建者 Frédéric M

2019年4月4日

Amazing course that uses current models such as attention!

創建者 Mallikarjun C

2019年3月1日

Excellent course with good practical programming exercises

創建者 Ajay M

2018年12月31日

Great course for someone starting NLP using Deep learning.

創建者 Philip W S K

2018年12月27日

Wonderful course series to get quick start on AI learning.

創建者 XUAN L

2018年6月10日

The online jupyter notebook sometimes is difficult to use.

創建者 LUN C

2018年5月14日

Final course, still full of energy to learn! Great course!

創建者 Michael D

2018年3月23日

Worthwhile conclusion to the deep learning specialization.

創建者 Gabriel P

2018年2月28日

Great with very useful projects to get hands on experience