課程信息
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第 3 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

You should take the first 2 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.

完成時間大約為9 小時

建議:4 weeks of study, 4-5 hours/week...

英語(English)

字幕:英語(English)

您將學到的內容有

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    Build natural language processing systems using TensorFlow

  • Check

    Process text, including tokenization and representing sentences as vectors

  • Check

    Apply RNNs, GRUs, and LSTMs in TensorFlow

  • Check

    Train LSTMs on existing text to create original poetry and more

您將獲得的技能

Natural Language ProcessingTokenizationMachine LearningTensorflowRNNs

第 3 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

You should take the first 2 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.

完成時間大約為9 小時

建議:4 weeks of study, 4-5 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 3 小時

Sentiment in text

13 個視頻 (總計 30 分鐘), 1 個閱讀材料, 3 個測驗
13 個視頻
Introduction1分鐘
Word based encodings2分鐘
Using APIs2分鐘
Notebook for lesson 12分鐘
Text to sequence3分鐘
Looking more at the Tokenizer1分鐘
Padding2分鐘
Notebook for lesson 24分鐘
Sarcasm, really?2分鐘
Working with the Tokenizer1分鐘
Notebook for lesson 33分鐘
Week 1 Wrap up21
1 個閱讀材料
News headlines dataset for sarcasm detection10分鐘
1 個練習
Week 1 Quiz
2
完成時間為 3 小時

Word Embeddings

14 個視頻 (總計 39 分鐘), 5 個閱讀材料, 3 個測驗
14 個視頻
Introduction2分鐘
The IMBD dataset1分鐘
Looking into the details4分鐘
How can we use vectors?2分鐘
More into the details2分鐘
Notebook for lesson 110分鐘
Remember the sarcasm dataset?1分鐘
Building a classifier for the sarcasm dataset1分鐘
Let’s talk about the loss function1分鐘
Pre-tokenized datasets43
Diving into the code (part 1)1分鐘
Diving into the code (part 2)2分鐘
Notebook for lesson 35分鐘
5 個閱讀材料
IMDB reviews dataset10分鐘
Try it yourself10分鐘
TensoFlow datasets10分鐘
Subwords text encoder10分鐘
Week 2 Wrap up10分鐘
1 個練習
Week 2 Quiz
3
完成時間為 3 小時

Sequence models

10 個視頻 (總計 16 分鐘), 4 個閱讀材料, 3 個測驗
10 個視頻
Introduction2分鐘
LSTMs2分鐘
Implementing LSTMs in code1分鐘
Accuracy and loss1分鐘
A word from Laurence35
Looking into the code1分鐘
Using a convolutional network1分鐘
Going back to the IMDB dataset1分鐘
Tips from Laurence37
4 個閱讀材料
Link to Andrew's sequence modeling course10分鐘
More info on LSTMs10分鐘
Exploring different sequence models10分鐘
Week 3 Wrap up10分鐘
1 個練習
Week 3 Quiz
4
完成時間為 3 小時

Sequence models and literature

14 個視頻 (總計 27 分鐘), 3 個閱讀材料, 3 個測驗
14 個視頻
Introduction1分鐘
Looking into the code57
Training the data2分鐘
More on training the data1分鐘
Notebook for lesson 18分鐘
Finding what the next word should be2分鐘
Example1分鐘
Predicting a word1分鐘
Poetry!40
Looking into the code1分鐘
Laurence the poet!1分鐘
Your next task1分鐘
A conversation with Andrew Ng1分鐘
3 個閱讀材料
link to Laurence's poetry10分鐘
Link to generating text using a character-based RNN10分鐘
Wrap up10分鐘
1 個練習
Week 4 Quiz
4.6
119 個審閱Chevron Right

來自Natural Language Processing in TensorFlow的熱門評論

創建者 GSAug 27th 2019

Excellent. Isn't Laurence just great! Fantastically deep knowledge, easy learning style, very practical presentation. And funny! A pure joy, highly relevant and extremely useful of course. Thank you!

創建者 CLAug 5th 2019

Great course with fun examples! Probably more valuable after completing Deep Learning Specialization/Sequence Models by Andrew Ng (https://www.coursera.org/learn/nlp-sequence-models)

講師

Avatar

Laurence Moroney

AI Advocate
Google Brain

關於 deeplearning.ai

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

關於 TensorFlow in Practice 專項課程

Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry! AI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. Courses 1-3 are available now, with Course 4 launching in July....
TensorFlow in Practice

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