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學生對 deeplearning.ai 提供的 序列模型 的評價和反饋

4.8
27,378 個評分
3,272 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

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.

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.

篩選依據:

2926 - 序列模型 的 2950 個評論(共 3,270 個)

創建者 Jarosław G

2019年1月21日

There were a lot of problems with notebook task grader.

創建者 Nick J

2018年3月11日

Great course, but too many mistakes in the assignments.

創建者 kasun s K

2021年9月19日

t​hank you for this. this give good knowaledge for me

創建者 Aloys N

2019年10月22日

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

創建者 Rakesh k k

2021年2月22日

Really Nice course to get basic understanding of NLP.

創建者 吴科炜

2021年2月16日

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

創建者 Johannes J

2019年6月27日

Great insights, helpful notebooks, good explanations.

創建者 Karol K

2018年2月26日

Again, programming assignment should work flawlessly!

創建者 Roberto G

2020年4月5日

un poco lentos los ejercicios y repetitivos comandos

創建者 Saurabh P

2018年2月17日

Very good introduction to RNNs and their variations.

創建者 Jetro G K

2018年7月24日

Muy difícil en comparación con los demás anteriores

創建者 Kamran K

2021年4月11日

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

創建者 阿刘

2020年8月6日

这节课主要还是以入门为主,没有讲太多理论知识,序列模型部分讲解跳跃性较大,需要结合更多资料去仔细研究

創建者 Minh N

2020年1月4日

Too much details! Too little time. More exercises!

創建者 Igor R

2018年4月20日

Excellent content, the auto-grader not so awesome.

創建者 Andriyanto H

2018年4月18日

Very good course but can be too rushing sometimes.

創建者 Omar H G

2021年7月22日

Great course

The last 2 weeks are the hardest ones

創建者 Syed S

2020年2月1日

A little too difficult to understand from scratch

創建者 ANDREW ( G

2020年1月20日

A little bit less quality than the previous ones.

創建者 Hemanth M

2019年7月31日

More programming examples/exercises would be good

創建者 tusheng w

2018年4月18日

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

創建者 SuperChen

2018年2月12日

Exercises are a bit tough and misunderstanding...

創建者 Wan N

2020年4月15日

It will be nice if the videos are more detailed.

創建者 Marco M

2018年5月17日

The course was really interesting and well done

創建者 David L

2019年6月4日

One task has a bug and impossible to complete.