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學生對 deeplearning.ai 提供的 Sequence Models 的評價和反饋

4.8
26,603 個評分
3,146 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

WK
2018年3月13日

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!

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.

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2776 - Sequence Models 的 2800 個評論(共 3,117 個)

創建者 Alvaro C

2019年7月29日

Much harder than previous ones, but also really interesting.

創建者 Jedrzej P

2018年4月29日

Would have liked an example outside of nlp, otherwise awsome

創建者 Anand B

2018年8月20日

Content is little less intuitive compared to other courses.

創建者 Anugna R

2020年7月15日

codes are too long and it is taking time for codes to run

創建者 Hassan E

2019年3月2日

Greeeeeeeeeeeeeeeat but less than the first four courses.

創建者 KIT M C

2019年11月13日

The program in the exercise is a bit hard to understand.

創建者 Galvin W

2018年2月23日

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

創建者 David N

2020年4月26日

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

創建者 Vikas K

2019年3月31日

it would have been better if he used more visualization

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 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 Syed S

2020年2月1日

A little too difficult to understand from scratch