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| <html lang="en"><head> | ||
| <meta charset="utf-8"> | ||
| <meta content="width=device-width, initial-scale=1.0" name="viewport"> | ||
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| <title>LinguaNet: Neural Machine Translation from English to German</title> | ||
| <meta content="" name="descriptison"> | ||
| <meta content="" name="keywords"> | ||
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| <!-- Favicons --> | ||
| <link href="../assets/img/favicon.png" rel="icon"> | ||
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| <!-- Google Fonts --> | ||
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| <!-- Vendor CSS Files --> | ||
| <link href="../assets/vendor/bootstrap/css/bootstrap.min.css" rel="stylesheet"> | ||
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| <!-- Template Main CSS File --> | ||
| <link href="../assets/css/style.css" rel="stylesheet"> | ||
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| <!-- ======================================================= | ||
| * Template Name: Personal - v2.2.0 | ||
| * Template URL: https://bootstrapmade.com/personal-free-resume-bootstrap-template/ | ||
| * Author: BootstrapMade.com | ||
| * License: https://bootstrapmade.com/license/ | ||
| ======================================================== --> | ||
| </head> | ||
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| <body data-gr-c-s-loaded="true"> | ||
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| <!-- ======= Portfolio Details ======= --> | ||
| <main id="main"> | ||
| <div id="portfolio-details" class="portfolio-details"> | ||
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| <div class="col-lg-12 portfolio-info"> | ||
| <br> | ||
| <h2 style="color:#12d640">LinguaNet: Neural Machine Translation from English to German</h2> | ||
| <ul> | ||
| <li><strong>Tech Stack</strong>: Python3, TensorFlow 2, Neural Networks</li> | ||
| <li><strong>Github URL</strong>: <a href="https://github.com/Damien3008/LinguaNet" target="_blank">Project Link</a></li> | ||
| </ul> | ||
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| <p> | ||
| This project involves creating a neural network for translating text from English to German. It utilizes key machine learning concepts such as flexible model architectures, freezing layers for optimized training, and a comprehensive data processing pipeline. | ||
| </p> | ||
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| <p> | ||
| The translation system is built using Python3 and TensorFlow 2, employing an encoder-decoder architecture. The data processing pipeline transforms the text into token sequences suitable for the neural network, allowing it to learn language patterns and perform accurate translations. | ||
| </p> | ||
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| <p> | ||
| The focus of this project is on effective sequence modeling, optimizing layer performance, and processing data efficiently to achieve high-quality translations. The implementation showcases the power of neural networks in natural language processing tasks. | ||
| </p> | ||
| </div> | ||
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| </div> | ||
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| </main><!-- End #main --> | ||
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