Fairseq: Setting up a CNN-based machine translation system Training Course

Course CodeCourse Code

Fairseq

Duration Duration

7 hours (usually 1 day including breaks)

Requirements Requirements

  • Some programming experience is helpful
  • Basic understanding of neural networks
  • Experience using the command line

Overview Overview

Fairseq is an open-source sequence-to-sequence learning toolkit created by Facebok for use in Neural Machine Translation (NMT).

In this training participants will learn how to use Fairseq to carry out translation of sample content.

By the end of this training, participants will have the knowledge and practice needed to implement a live Fairseq based machine translation solution.

Audience

  • Localization specialists with a technical background
  • Global content managers
  • Localization engineers
  • Software developers in charge of implementing global content solutions

Format of the course
    Part lecture, part discussion, heavy hands-on practice

Note

  • If you wish to use specific source and target language content, please contact us to arrange.

Course OutlineCourse Outline

Introduction
    Why Neural Machine Translation?

Overview of the Torch project

Overview of a Convolutional Neural Machine Translation model
    Convolutional Sequence to Sequence Learning
    Convolutional Encoder Model for Neural Machine Translation
    Standard LSTM-based model

Overview of training approaches
    About GPUs and CPUs
    Fast beam search generation

Installation and setup

Evaluating pre-trained models

Preprocessing your data

Training the model

Translating

Converting a trained model to use CPU-only operations

Joining to the community

Closing remarks

Bookings, Prices and EnquiriesBookings, Prices and Enquiries

Guaranteed to run even with a single delegate!
Private Classroom
 
Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote
From £1100
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet. More Information

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Private Remote
1 £1100
2 £775
3 £667
4 £613
Public Classroom
From £1250
(104)
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom
1 £1250
2 £875
3 £750
4 £688
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Related Courses

Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
Bradford - Carlisle Business CentreWed, 2018-02-07 09:30£1100 / £1350
Coventry - The QuadrantMon, 2018-02-12 09:30£1100 / £1350
SouthamptonWed, 2018-02-14 09:30£1100 / £1350
London, Hatton GardenWed, 2018-02-14 09:30£1100 / £1475
Leicester - St. Georges HouseThu, 2018-02-15 09:30£1100 / £1350

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