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Natural Language Generation in Python

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Course Features

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Duration

4 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

4 hours

Course Description

Wondering how Gmail can autocomplete sentences? Or what power WhatsApp uses when you send a message to suggest words? These helpful writing tips are based on machine learning. This course will show you how to train and build machine-learning models for different tasks in natural language generation. This course will teach you how to train a model that is based on Shakespeare's literary works, and create text in his style. To convert French sentences to English, a neural translation model will also be developed. Finally, you will train the seq2seq algorithm in order to create natural language autocomplete sentences. This is very similar to Gmail!

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Natural Language Processing in Python

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Advanced Deep Learning with Keras

What You Will Learn

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Imitate Shakespear, translate language and autocomplete sentences using Deep Learning in Python

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In this course, you'll build and train machine learning models for different natural language generation tasks

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You'll also learn how to create a neural translation model to translate English sentences into French. Finally, you'll train a seq2seq model to generate your own natural language autocomplete sentences, just like Gmail!

Course Instructors

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Biswanath Halder

Data Scientist

Biswanath is a Data Scientist having around nine years of working experience in companies like Oracle, Microsoft, and Adobe. He specializes in applying Machine Learning and Deep Learning techniques t...

Course Reviews

Average Rating Based on 3 reviews

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Course Cover

$12

$6

49% OFF

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