| <!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta http-equiv="X-UA-Compatible" content="IE=edge"/><title>Ví Dụ · Apache SINGA</title><meta name="viewport" content="width=device-width"/><meta name="generator" content="Docusaurus"/><meta name="description" content="<!--- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. -->"/><meta name="docsearch:version" content="4.0.0_Viet"/><meta name="docsearch:language" content="en"/><meta property="og:title" content="Ví Dụ · Apache SINGA"/><meta property="og:type" content="website"/><meta property="og:url" content="https://singa.apache.org/"/><meta property="og:description" content="<!--- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. -->"/><meta property="og:image" content="https://singa.apache.org/img/singa_twitter_banner.jpeg"/><meta name="twitter:card" content="summary"/><meta name="twitter:image" content="https://singa.apache.org/img/singa_twitter_banner.jpeg"/><link rel="shortcut icon" href="/img/favicon.ico"/><link rel="stylesheet" href="https://cdn.jsdelivr.net/docsearch.js/1/docsearch.min.css"/><link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/highlight.js/9.12.0/styles/atom-one-dark.min.css"/><link rel="alternate" type="application/atom+xml" href="https://singa.apache.org/blog/atom.xml" title="Apache SINGA Blog ATOM Feed"/><link rel="alternate" type="application/rss+xml" href="https://singa.apache.org/blog/feed.xml" title="Apache SINGA Blog RSS Feed"/><link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Source+Sans+Pro:400,400i,700"/><link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Baloo+Paaji+2&family=Source+Sans+Pro:wght@200;300&display=swap"/><script type="text/javascript" src="https://buttons.github.io/buttons.js"></script><script src="https://unpkg.com/vanilla-back-to-top@7.1.14/dist/vanilla-back-to-top.min.js"></script><script> |
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| <p>Phần này đưa ra một vài ví dụ về việc thực hiện deep learning sử dụng SINGA. Mã |
| nguồn (source code) được cung cấp trong SINGA repo trên |
| <a href="https://github.com/apache/singa/tree/master/examples">Github</a>. Có thể tham khảo |
| các ví dụ sử dụng SINGA Python APIs trên CPU hoặc một GPU trên |
| <a href="https://colab.research.google.com/">Google Colab</a>. Bạn có thể trực tiếp chạy |
| thử trên Google Cloud mà không cần tạo local environment. Đường dẫn tới mỗi ví |
| dụ được cung cấp dưới đây.</p> |
| <h2><a class="anchor" aria-hidden="true" id="image-classification"></a><a href="#image-classification" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Image Classification</h2> |
| <table> |
| <thead> |
| <tr><th>Model</th><th>Dataset</th><th>Đường dẫn</th></tr> |
| </thead> |
| <tbody> |
| <tr><td>CNN cơ bản</td><td>MNIST, CIFAR10, CIFAR100</td><td><a href="https://colab.research.google.com/drive/1fbGUs1AsoX6bU5F745RwQpohP4bHTktq">Colab</a></td></tr> |
| <tr><td>AlexNet</td><td>ImageNet</td><td><a href="">Cpp</a></td></tr> |
| <tr><td>VGG</td><td>ImageNet</td><td><a href="">Cpp</a>, <a href="">Python</a>, <a href="https://colab.research.google.com/drive/14kxgRKtbjPCKKsDJVNi3AvTev81Gp_Ds">Colab</a></td></tr> |
| <tr><td>XceptionNet</td><td>MNIST, CIFAR10, CIFAR100</td><td><a href="">Python</a></td></tr> |
| <tr><td>ResNet</td><td>MNIST, CIFAR10, CIFAR100, CIFAR10</td><td><a href="">Python</a>, <a href="https://colab.research.google.com/drive/1u1RYefSsVbiP4I-5wiBKHjsT9L0FxLm9">Colab</a></td></tr> |
| <tr><td>MobileNet</td><td>ImageNet</td><td><a href="https://colab.research.google.com/drive/1HsixqJMIpKyEPhkbB8jy7NwNEFEAUWAf">Colab</a></td></tr> |
| </tbody> |
| </table> |
| <h2><a class="anchor" aria-hidden="true" id="object-detection"></a><a href="#object-detection" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Object Detection</h2> |
| <table> |
| <thead> |
| <tr><th>Model</th><th>Dataset</th><th>Đường dẫn</th></tr> |
| </thead> |
| <tbody> |
| <tr><td>Tiny YOLOv2</td><td>Pascal VOC</td><td><a href="https://colab.research.google.com/drive/11V4I6cRjIJNUv5ZGsEGwqHuoQEie6b1T">Colab</a></td></tr> |
| </tbody> |
| </table> |
| <h2><a class="anchor" aria-hidden="true" id="nhận-diện-khuôn-mặt-và-cảm-xúc"></a><a href="#nhận-diện-khuôn-mặt-và-cảm-xúc" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Nhận diện Khuôn mặt và Cảm xúc</h2> |
| <table> |
| <thead> |
| <tr><th>Model</th><th>Dataset</th><th>Đường dẫn</th></tr> |
| </thead> |
| <tbody> |
| <tr><td>ArcFace</td><td>Refined MS-Celeb-1M</td><td><a href="https://colab.research.google.com/drive/1qanaqUKGIDtifdzEzJOHjEj4kYzA9uJC">Colab</a></td></tr> |
| <tr><td>Emotion FerPlus</td><td><a href="https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data">Facial Expression Recognition Challenge</a></td><td><a href="https://colab.research.google.com/drive/1XHtBQGRhe58PDi4LGYJzYueWBeWbO23r">Colab</a></td></tr> |
| </tbody> |
| </table> |
| <h2><a class="anchor" aria-hidden="true" id="image-generation"></a><a href="#image-generation" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Image Generation</h2> |
| <table> |
| <thead> |
| <tr><th>Model</th><th>Dataset</th><th>Đường dẫn</th></tr> |
| </thead> |
| <tbody> |
| <tr><td>GAN</td><td>MNIST</td><td><a href="https://colab.research.google.com/drive/1f86MNDW47DJqHoIqWD1tOxcyx2MWys8L">Colab</a></td></tr> |
| <tr><td>LSGAN</td><td>MNIST</td><td><a href="https://colab.research.google.com/drive/1C6jNRf28vnFOI9JVM4lpkJPqxsnhxdol">Colab</a></td></tr> |
| </tbody> |
| </table> |
| <h2><a class="anchor" aria-hidden="true" id="machine-comprehension"></a><a href="#machine-comprehension" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Machine Comprehension</h2> |
| <table> |
| <thead> |
| <tr><th>Model</th><th>Dataset</th><th>Đường dẫn</th></tr> |
| </thead> |
| <tbody> |
| <tr><td>Bert-Squad</td><td><a href="https://rajpurkar.github.io/SQuAD-explorer/explore/1.1/dev/">SQuAD v1.1</a></td><td><a href="https://colab.research.google.com/drive/1kud-lUPjS_u-TkDAzihBTw0Vqr0FjCE-">Colab</a></td></tr> |
| </tbody> |
| </table> |
| <h2><a class="anchor" aria-hidden="true" id="text-classification"></a><a href="#text-classification" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Text Classification</h2> |
| <table> |
| <thead> |
| <tr><th>Model</th><th>Dataset</th><th>Đường dẫn</th></tr> |
| </thead> |
| <tbody> |
| <tr><td>Simple LSTM</td><td>IMDB</td><td><a href="">python</a></td></tr> |
| </tbody> |
| </table> |
| <h2><a class="anchor" aria-hidden="true" id="text-ranking"></a><a href="#text-ranking" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Text Ranking</h2> |
| <table> |
| <thead> |
| <tr><th>Model</th><th>Dataset</th><th>Đường dẫn</th></tr> |
| </thead> |
| <tbody> |
| <tr><td>BiLSTM</td><td>InsuranceQA</td><td><a href="">python</a></td></tr> |
| </tbody> |
| </table> |
| <h2><a class="anchor" aria-hidden="true" id="misc"></a><a href="#misc" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Misc.</h2> |
| <ul> |
| <li>Restricted Boltzmann Machine sử dụng dữ liệu MNIST, <a href="">nguồn</a>, |
| <a href="https://colab.research.google.com/drive/19996noGu9JyHHkVmp4edBGu7PJSRQKsd">Colab</a>.</li> |
| </ul> |
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