深度学习预训练模型

十大预训练模型，助力入门深度学习（第1部分 - 计算机视觉）

介绍对于希望运用某个现有框架来解决自己的任务的人来说，预训练模型可以帮你快速实现这一点。通常来说，由于时间限制或硬件水平限制大家往往并不会从头开始构建并训练模型，这也就是预训练模型存在的意义。大家可以使用预训练模型作为基准来改进现有模型，或者针对它测试自己的模型：图片来源：Facebook AI...

OpenCV+深度学习预训练模型，简单搞定图像识别 | 教程

本文来自AI新媒体量子位（QbitAI） OpenCV是一个2000年发布的开源计算机视觉库，有进行物体识别、图像分割、人脸识别、动作识别等多种功能，可以在Linux、Windows、Android、Mac OS等操作系统上运行，以轻量级、高效著称，且提供多种语言接口。而OpenCV最近一次版本更...

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一文看懂迁移学习：怎样用预训练模型搞定深度学习？

本文来自AI新媒体量子位（QbitAI）引言跟传统的监督式机器学习算法相比，深度神经网络目前最大的劣势是什么？贵。尤其是当我们在尝试处理现实生活中诸如图像识别、声音辨识等实际问题的时候。一旦你的模型中包含一些隐藏层时，增添多一层隐藏层将会花费巨大的计算资源。庆幸的是，有一种叫做“迁移学习”...

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