About this Course

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Intermediate Level

We recommend that you have taken the first two courses of the Natural Language Processing Specialization, offered by deeplearning.ai

Approx. 22 hours to complete
English

What you will learn

  • Create word embeddings, then train a neural network on them to perform sentiment analysis of tweets

  • Generate synthetic Shakespeare text using a Gated Recurrent Unit (GRU) language model

  • Train a recurrent neural network to extract important information from text, using named entity recognition (NER) and LSTMs with linear layers

  • Use a Siamese network to compare questions in a text and identify duplicates: questions that are worded differently but have the same meaning

Skills you will gain

Word EmbeddingSentiment with Neural NetsSiamese NetworksNatural Language GenerationNamed-Entity Recognition
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

We recommend that you have taken the first two courses of the Natural Language Processing Specialization, offered by deeplearning.ai

Approx. 22 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Content RatingThumbs Up93%(2,621 ratings)Info
Week
1

Week 1

6 hours to complete

Neural Networks for Sentiment Analysis

6 hours to complete
9 videos (Total 35 min), 10 readings, 1 quiz
Week
2

Week 2

5 hours to complete

Recurrent Neural Networks for Language Modeling

5 hours to complete
8 videos (Total 27 min), 8 readings, 1 quiz
Week
3

Week 3

5 hours to complete

LSTMs and Named Entity Recognition

5 hours to complete
6 videos (Total 24 min), 10 readings, 1 quiz
Week
4

Week 4

6 hours to complete

Siamese Networks

6 hours to complete
8 videos (Total 33 min), 9 readings, 1 quiz

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About the Natural Language Processing Specialization

Natural Language Processing

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