Course Report - Sequence Models

Course Report

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Course Features

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Duration

42 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

42 hours

Course Description

The fifth course in the Deep Learning Specialization will teach you sequence models and how they can be used to create speech recognition, music synthesizers, chatbots and natural language processing (NLP).

Course Overview

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

You will gain knowledge on natural language processing

You will gain knowledge on long short term memory (lstm)

You will gain knowledge on gated recurrent unit (gru)

You will gain knowledge on recurrent neural network

You will gain knowledge on attention models

Course Instructors

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Andrew Ng

Founder, DeepLearning.AI & Co-founder, Coursera

Andrew Ng is Founder of DeepLearning.AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University. As a pioneer both in machine learning and on...
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Kian Katanforoosh

Founder, Workera

Kian Katanforoosh is the instructor for this course
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Younes Bensouda Mourri

Computer Science

Younes was born and raised in Morocco. He currently teaches Artificial Intelligence on campus and online at Stanford University. He has worked on Coursera's #1 Course: Machine learning and #1 Special...

Course Reviews

Average Rating Based on 4 reviews

4.8

75%

25%

Course Cover