Chevron Left
返回到 序列模型

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:

2876 - 序列模型 的 2900 個評論(共 3,270 個)

創建者 J V

2020年4月24日

Great Content with real-time example looking forward to doing more courses

創建者 Andrius T

2019年11月2日

Please remove repetitions from videos, really annoying thing. Great job :)

創建者 Luca C

2019年10月13日

Awesome notebooks to gain practical experience with deep learning systems.

創建者 Philippe A

2018年10月21日

This course is very interesting! Again! It requires basic Keras knowlegde.

創建者 EZ

2018年2月18日

Course is excellent. Assignment, however, could use some more refinement.

創建者 Attili S

2020年8月12日

It would be good to extend some more detailed explanation in this course

創建者 Sebastian M

2019年4月7日

need some reviewing in the optional parts of the programming assignments

創建者 Guan W

2018年3月10日

Excellent course content, but poor maintenance of programming assignment

創建者 Filip V

2018年2月25日

Provides good exposure to sequence models for NLP and speech processing.

創建者 Xirui Z

2021年4月7日

Instructions for labs are not clear enough, especially the layers part.

創建者 Mandeep S G

2020年1月25日

Great exercises but videos were slightly rushed. Overall a good course.

創建者 Vinod C

2019年4月29日

Good course. Feel a little bit rushed. Difficult to retain the concepts

創建者 Chen L

2018年3月14日

The content is great, but the programming exercises are full of errors.

創建者 Xiao

2018年3月8日

Some techniques for keras need to be clarified. Generally a good course

創建者 Jon M

2021年7月7日

I liked this particular set of lectures, too, now on to something new.

創建者 Vamvakaris M

2019年9月8日

It required coding on keras and tensorflow not appropriate introduced.

創建者 Rafael B d S

2019年8月6日

The Course is great! But the programming assignments has too many bugs

創建者 Pete H

2018年12月12日

it's very difficult to submit last programming exercise "trigger word"

創建者 Ishan S

2020年6月27日

More clarification on what we are doing in the programming exercises

創建者 Emanuel G

2018年12月13日

Great introduction to LSTMs, RNNs, GRUs, NLP and speech recognition.

創建者 Nilesh R

2018年3月20日

Great content but I felt it was bit rushed and squeezed in 3 weeks .

創建者 Alex M

2018年3月14日

The quality was a bit down but still very worthwhile and interesting

創建者 Vivek K

2018年7月20日

Great practical experience. Would have preferred a bit more theory.

創建者 Fady B

2018年6月1日

it covered a lot of interesting topics but it was a bit high level.

創建者 Alireza S

2020年6月18日

great course to understand intuition of sequence modeling for NLP.