Information Technology
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Machine Translation in Python

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5

(3)

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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

A bilingual dictionary is no longer required to be taken on holiday to Europe. You can also keep one at work for homework in other languages. You can quickly find out the meaning of street signs and thank foreigners in their native languages by simply logging on to the internet. Language translation services are based on complex machine translation models. Have you ever wondered what these models do. This course will teach you the principles and inner workings of machine translation models. Keras, a Python-based deeplearning library, allows you to create a model of translation. The model can then be trained to improve its performance. The course will teach you techniques for improving the model. This course will help you gain a greater understanding and appreciation for machine translation models.

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 Deep Learning in Python

What You Will Learn

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You will also learn about Gated Recurrent Units (GRUs) and how they are used in the encoder-decoder architecture

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You will see that our model does a good job when translating sentences

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Then you will learn how you can use word embeddings to make the model even better

Course Instructors

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Thushan Ganegedara

Data Scientist and Author

Thushan Ganegedara is a Senior Data Scientist. He is the author of TF2 in Action - Manning and NLP with TensorFlow (v1.6). He has over 4 years experience with TensorFlow. Thushan likes to wear many h...

Course Reviews

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