About this Course

362,301 recent views
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

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

Approx. 14 hours to complete
English

Skills you will gain

Natural Language ProcessingTokenizationMachine LearningTensorflowRNNs
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

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

Approx. 14 hours to complete
English

Instructor

Offered by

Placeholder

DeepLearning.AI

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(7,680 ratings)Info
Week
1

Week 1

3 hours to complete

Sentiment in text

3 hours to complete
13 videos (Total 30 min), 4 readings, 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
4 readings
Check out the code!10m
Check out the code!10m
News headlines dataset for sarcasm detection10m
Check out the code!10m
1 practice exercise
Week 1 Quiz
Week
2

Week 2

4 hours to complete

Word Embeddings

4 hours to complete
14 videos (Total 39 min), 7 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
7 readings
IMDB reviews dataset10m
Check out the code!10m
Check out the code!10m
TensorFlow datasets10m
Subwords text encoder10m
Check out the code!10m
Week 2 Wrap up10m
1 practice exercise
Week 2 Quiz
Week
3

Week 3

3 hours to complete

Sequence models

3 hours to complete
10 videos (Total 16 min), 7 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
7 readings
Link to Andrew's sequence modeling course10m
More info on LSTMs10m
Check out the code!10m
Check out the code!10m
Check out the code!10m
Exploring different sequence models10m
Week 3 Wrap up10m
1 practice exercise
Week 3 Quiz
Week
4

Week 4

3 hours to complete

Sequence models and literature

3 hours to complete
14 videos (Total 27 min), 5 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
5 readings
Check out the code!10m
link to Laurence's poetry10m
Check out the code!10m
Link to generating text using a character-based RNN10m
Wrap up10m
1 practice exercise
Week 4 Quiz

Reviews

TOP REVIEWS FROM NATURAL LANGUAGE PROCESSING IN TENSORFLOW

View all reviews

About the DeepLearning.AI TensorFlow Developer Professional Certificate

DeepLearning.AI TensorFlow Developer

Frequently Asked Questions

More questions? Visit the Learner Help Center.