In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more.
This course is part of the Deep Learning Specialization
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Deep Learning SpecializationDeepLearning.AIAbout this Course
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Course 5 of 5 in the
Intermediate Level
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
Approx. 37 hours to complete
English
Skills you will gain
- Natural Language Processing
- Long Short Term Memory (LSTM)
- Gated Recurrent Unit (GRU)
- Recurrent Neural Network
- Attention Models
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 5 in the
Intermediate Level
Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
A basic grasp of linear algebra & ML
Approx. 37 hours to complete
English
Offered by
Syllabus - What you will learn from this course
12 hours to complete
Recurrent Neural Networks
12 hours to complete
12 videos (Total 112 min), 4 readings, 6 quizzes
9 hours to complete
Natural Language Processing & Word Embeddings
9 hours to complete
10 videos (Total 99 min), 1 reading, 4 quizzes
9 hours to complete
Sequence Models & Attention Mechanism
9 hours to complete
10 videos (Total 98 min), 2 readings, 4 quizzes
8 hours to complete
Transformer Network
8 hours to complete
5 videos (Total 42 min), 4 readings, 3 quizzes
Reviews
- 5 stars83.58%
- 4 stars13.08%
- 3 stars2.56%
- 2 stars0.47%
- 1 star0.28%
TOP REVIEWS FROM SEQUENCE MODELS
by MHApr 21, 2020
Very good. I have no complaints. I though instruction was very clear. Assignments were very helpful and challenging enough that I learned something, but not so challenging that I got stuck too often.
by SSJan 1, 2020
Learnt a lot about new concepts in RNN and LSTM. Really wanted to learn about these models. This course helped a lot. Everything was new and so fascinating. Loved this course and our teach Andrew NG.
by GSApr 26, 2019
So many possibilities will be presented in front of you after this course. The only limit is the boundary of my imagination and creativity, that is how I feel now upon the completion of this course.
by SDSep 27, 2018
Great hands on instruction on how RNNs work and how they are used to solve real problems. It was particularly useful to use Conv1D, Bidirectional and Attention layers into RNNs and see how they work.
About the Deep Learning Specialization
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