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.
Sequence Models
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Sequence Models
This course is part of Deep Learning Specialization
Instructors: Andrew Ng +2 more
Top Instructor
447,109 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(31,089 reviews)
Intermediate level
Recommended experience
Flexible schedule
4 weeks at 10 hours a week
Learn at your own pace
94%
Most learners liked this course
Skills you'll gain
- Category: Supervised Learning
- Category: Tensorflow
- Category: PyTorch (Machine Learning Library)
- Category: Large Language Modeling
- Category: Generative AI
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Natural Language Processing
- Category: Artificial Neural Networks
Details to know
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Assessments
4 assignments
Taught in English
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This course is part of the Deep Learning Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
Discover recurrent neural networks, a type of model that performs extremely well on temporal data, and several of its variants, including LSTMs, GRUs and Bidirectional RNNs,
What's included
12 videos5 readings1 assignment3 programming assignments
Natural language processing with deep learning is a powerful combination. Using word vector representations and embedding layers, train recurrent neural networks with outstanding performance across a wide variety of applications, including sentiment analysis, named entity recognition and neural machine translation.
What's included
10 videos2 readings1 assignment2 programming assignments
Augment your sequence models using an attention mechanism, an algorithm that helps your model decide where to focus its attention given a sequence of inputs. Then, explore speech recognition and how to deal with audio data.
What's included
10 videos2 readings1 assignment2 programming assignments
What's included
5 videos5 readings1 assignment1 programming assignment3 ungraded labs
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Instructors
Instructor ratings
4.9 (2,805 ratings)Top Instructor
Andrew Ng
DeepLearning.AI
51 Courses9,133,073 learners
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DeepLearning.AI
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4.8
31,089 reviews
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Showing 3 of 31089
SC
5
Reviewed on Jan 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.
CD
5
Reviewed on Sep 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.
EM
5
Reviewed on Jun 12, 2019
A really joyful introduction in the Sequence Models, such as RNNs, LSTM etc. Sometimes the assignments got a little hard and with patience and help from forums, it gets achievable! Thanks again! :D
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