About this Course
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Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

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

Approx. 9 hours to complete

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

English

Subtitles: English

What you will learn

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    Build natural language processing systems using TensorFlow

  • Check

    Process text, including tokenization and representing sentences as vectors

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    Apply RNNs, GRUs, and LSTMs in TensorFlow

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    Train LSTMs on existing text to create original poetry and more

Skills you will gain

Natural Language ProcessingTokenizationMachine LearningTensorflowRNNs

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

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

Approx. 9 hours to complete

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

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
3 hours to complete

Sentiment in text

13 videos (Total 30 min), 1 reading, 3 quizzes
13 videos
Introduction1m
Word based encodings2m
Using APIs2m
Notebook for lesson 12m
Text to sequence3m
Looking more at the Tokenizer1m
Padding2m
Notebook for lesson 24m
Sarcasm, really?2m
Working with the Tokenizer1m
Notebook for lesson 33m
Week 1 Wrap up21s
1 reading
News headlines dataset for sarcasm detection10m
1 practice exercise
Week 1 Quiz
Week
2
3 hours to complete

Word Embeddings

14 videos (Total 39 min), 5 readings, 3 quizzes
14 videos
Introduction2m
The IMBD dataset1m
Looking into the details4m
How can we use vectors?2m
More into the details2m
Notebook for lesson 110m
Remember the sarcasm dataset?1m
Building a classifier for the sarcasm dataset1m
Let’s talk about the loss function1m
Pre-tokenized datasets43s
Diving into the code (part 1)1m
Diving into the code (part 2)2m
Notebook for lesson 35m
5 readings
IMDB reviews dataset10m
Try it yourself10m
TensoFlow datasets10m
Subwords text encoder10m
Week 2 Wrap up10m
1 practice exercise
Week 2 Quiz
Week
3
3 hours to complete

Sequence models

10 videos (Total 16 min), 4 readings, 3 quizzes
10 videos
Introduction2m
LSTMs2m
Implementing LSTMs in code1m
Accuracy and loss1m
A word from Laurence35s
Looking into the code1m
Using a convolutional network1m
Going back to the IMDB dataset1m
Tips from Laurence37s
4 readings
Link to Andrew's sequence modeling course10m
More info on LSTMs10m
Exploring different sequence models10m
Week 3 Wrap up10m
1 practice exercise
Week 3 Quiz
Week
4
3 hours to complete

Sequence models and literature

14 videos (Total 27 min), 3 readings, 3 quizzes
14 videos
Introduction1m
Looking into the code57s
Training the data2m
More on training the data1m
Notebook for lesson 18m
Finding what the next word should be2m
Example1m
Predicting a word1m
Poetry!40s
Looking into the code1m
Laurence the poet!1m
Your next task1m
A conversation with Andrew Ng1m
3 readings
link to Laurence's poetry10m
Link to generating text using a character-based RNN10m
Wrap up10m
1 practice exercise
Week 4 Quiz
4.6
177 ReviewsChevron Right

Top reviews from Natural Language Processing in TensorFlow

By 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!

By AMSep 23rd 2019

Excellent course. Teaches NLP thoroughly, going from the basics such as tokenization and padding to complex topics such as word embeddings and sequence models (like RNNs, LSTMs and GRUs).

Instructor

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Laurence Moroney

AI Advocate
Google Brain

About deeplearning.ai

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

About the TensorFlow in Practice Specialization

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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.