课程信息
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第 5 门课程(共 5 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为18 小时

建议:11 hours/week...

英语(English)

字幕:中文(繁体), 中文(简体), 韩语, 英语(English), 西班牙语(Spanish)

您将获得的技能

Recurrent Neural NetworkArtificial Neural NetworkDeep LearningLong Short-Term Memory (ISTM)

第 5 门课程(共 5 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为18 小时

建议:11 hours/week...

英语(English)

字幕:中文(繁体), 中文(简体), 韩语, 英语(English), 西班牙语(Spanish)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 6 小时

Recurrent Neural Networks

12 个视频 (总计 112 分钟), 2 个阅读材料, 4 个测验
12 个视频
Notation9分钟
Recurrent Neural Network Model16分钟
Backpropagation through time6分钟
Different types of RNNs9分钟
Language model and sequence generation12分钟
Sampling novel sequences8分钟
Vanishing gradients with RNNs6分钟
Gated Recurrent Unit (GRU)17分钟
Long Short Term Memory (LSTM)9分钟
Bidirectional RNN8分钟
Deep RNNs5分钟
2 个阅读材料
Gated Recurrent Unit (GRU) *CORRECTION*1分钟
Long Short Term Memory (LSTM) *CORRECTION*1分钟
1 个练习
Recurrent Neural Networks20分钟
2
完成时间为 4 小时

Natural Language Processing & Word Embeddings

10 个视频 (总计 102 分钟), 1 个阅读材料, 3 个测验
10 个视频
Using word embeddings9分钟
Properties of word embeddings11分钟
Embedding matrix5分钟
Learning word embeddings10分钟
Word2Vec12分钟
Negative Sampling11分钟
GloVe word vectors11分钟
Sentiment Classification7分钟
Debiasing word embeddings11分钟
1 个阅读材料
GloVe word vectors *CORRECTION*1分钟
1 个练习
Natural Language Processing & Word Embeddings20分钟
3
完成时间为 5 小时

Sequence models & Attention mechanism

11 个视频 (总计 103 分钟), 2 个阅读材料, 3 个测验
11 个视频
Picking the most likely sentence8分钟
Beam Search11分钟
Refinements to Beam Search11分钟
Error analysis in beam search9分钟
Bleu Score (optional)16分钟
Attention Model Intuition9分钟
Attention Model12分钟
Speech recognition8分钟
Trigger Word Detection5分钟
Conclusion and thank you2分钟
2 个阅读材料
Bleu Score *CORRECTION*1分钟
Instructions if you are unable to open your notebook10分钟
1 个练习
Sequence models & Attention mechanism20分钟
4.8
1934 个审阅Chevron Right

39%

完成这些课程后已开始新的职业生涯

40%

通过此课程获得实实在在的工作福利

13%

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来自Sequence Models的热门评论

创建者 JYOct 30th 2018

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.

创建者 AMJul 1st 2019

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.

讲师

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Andrew Ng

CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
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Head Teaching Assistant - Kian Katanforoosh

Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec
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Teaching Assistant - Younes Bensouda Mourri

Mathematical & Computational Sciences, Stanford University, deeplearning.ai
Computer Science

关于 deeplearning.ai

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders....

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