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When to use self over $this?

In PHP 5, what is the difference between using self and $this ? 23 Answers 23 ...
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Safely remove migration In Laravel

... I accidentally created a migration with a bad name (command: php artisan migrate:make). I did not run (php artisan migrate) the migration, so I decided to remove it. My steps: Manually delete the migration file under app/database/migrations/my_migration_file_name.php Reset the compos...
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how to get GET and POST variables with JQuery?

...t;script> tag: <script type="text/javascript"> var $_POST = <?php echo json_encode($_POST); ?>; document.write($_POST["test"]); </script> While you're at it (doing things on server side), you might collect the GET parameters on PHP as well: var $_GET = <?php echo json_en...
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Can I get CONST's defined on a PHP class?

... are doing this a lot you may want to looking at caching the result. <?php class Profile { const LABEL_FIRST_NAME = "First Name"; const LABEL_LAST_NAME = "Last Name"; const LABEL_COMPANY_NAME = "Company"; } $refl = new ReflectionClass('Profile'); print_r($refl->getConstants()); ...
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Best XML Parser for PHP [duplicate]

... C, and is very fast. But second, the parsed document takes the form of a PHP object. So you can "query" like $root->myElement. share | improve this answer | follow ...
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Deep Learning(深度学习)学习笔记整理系列之(三) - 大数据 & AI - 清泛...

...算单元情况下对复杂函数的表示能力有限,针对复杂分类问题其泛化能力受到一定制约。深度学习可通过学习一种深层非线性网络结构,实现复杂函数逼近,表征输入数据分布式表示,并展现了强大的从少数样本集中学习数据集...
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Deep Learning(深度学习)学习笔记整理系列之(三) - 大数据 & AI - 清泛...

...算单元情况下对复杂函数的表示能力有限,针对复杂分类问题其泛化能力受到一定制约。深度学习可通过学习一种深层非线性网络结构,实现复杂函数逼近,表征输入数据分布式表示,并展现了强大的从少数样本集中学习数据集...
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Deep Learning(深度学习)学习笔记整理系列之(三) - 大数据 & AI - 清泛...

...算单元情况下对复杂函数的表示能力有限,针对复杂分类问题其泛化能力受到一定制约。深度学习可通过学习一种深层非线性网络结构,实现复杂函数逼近,表征输入数据分布式表示,并展现了强大的从少数样本集中学习数据集...
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Deep Learning(深度学习)学习笔记整理系列之(三) - 大数据 & AI - 清泛...

...算单元情况下对复杂函数的表示能力有限,针对复杂分类问题其泛化能力受到一定制约。深度学习可通过学习一种深层非线性网络结构,实现复杂函数逼近,表征输入数据分布式表示,并展现了强大的从少数样本集中学习数据集...
https://www.tsingfun.com/it/bi... 

Deep Learning(深度学习)学习笔记整理系列之(三) - 大数据 & AI - 清泛...

...算单元情况下对复杂函数的表示能力有限,针对复杂分类问题其泛化能力受到一定制约。深度学习可通过学习一种深层非线性网络结构,实现复杂函数逼近,表征输入数据分布式表示,并展现了强大的从少数样本集中学习数据集...