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<h1><a href="https://nn.labml.ai/resnet/index.html">画像認識のための深層残差学習 (ResNet)</a></h1>
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<p>これは、「<a href="https://papers.labml.ai/paper/1512.03385">画像認識のための深層残差学習</a>」<a href="https://pytorch.org">という論文をPyTorchで実装したものです</a>。</p>
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<p><em>ResNetは劣化の問題を克服するために層を残差関数として学習させます</em>。劣化の問題は、層の数が非常に多くなると、ディープニューラルネットワークの精度が低下することです。レイヤーの数が増えると精度が上がり、飽和し、劣化が始まります</p>。
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