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Deep Learning with MXNet Cookbook

You're reading from   Deep Learning with MXNet Cookbook Discover an extensive collection of recipes for creating and implementing AI models on MXNet

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781800569607
Length 370 pages
Edition 1st Edition
Languages
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Author (1):
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Andrés P. Torres Andrés P. Torres
Author Profile Icon Andrés P. Torres
Andrés P. Torres
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Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Up and Running with MXNet FREE CHAPTER 2. Chapter 2: Working with MXNet and Visualizing Datasets – Gluon and DataLoader 3. Chapter 3: Solving Regression Problems 4. Chapter 4: Solving Classification Problems 5. Chapter 5: Analyzing Images with Computer Vision 6. Chapter 6: Understanding Text with Natural Language Processing 7. Chapter 7: Optimizing Models with Transfer Learning and Fine-Tuning 8. Chapter 8: Improving Training Performance with MXNet 9. Chapter 9: Improving Inference Performance with MXNet 10. Index 11. Other Books You May Enjoy

Translating text from Vietnamese to English

Translating text automatically (machine translation) has been a very interesting and useful use case for NLP since its inception, as breaking language barriers has lots of applications, including chatbots and automated subtitles in multiple languages.

Before deep learning, machine translation was typically approached as a statistical problem. Even after deep learning, it was not until Google, in 2016, applied deep learning to machine translation that the area of Neural Machine Translation (NMT) was born. This model set the foundation for translating tasks now available in LLMs, such as OpenAI GPT and Google Bard.

In this recipe, we will apply these techniques to translate sentences from Vietnamese to English, using pre-trained models from GluonNLP Model Zoo.

Getting ready

As in previous chapters, in this recipe, we will be using a little bit of matrix operations and linear algebra, but it will not be hard at all.

Furthermore...

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