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<div id='write' class = 'is-node'><h1><a name='header-n0' class='md-header-anchor '></a>二维卷积示例</h1><h2><a name='header-n2' class='md-header-anchor '></a>卷积</h2><table><thead><tr><th style='text-align:center;' >步长 s = 1</th><th style='text-align:center;' >步长 s = 2</th></tr></thead><tbody><tr><td style='text-align:center;' ><img width="250px" src="cnn-in_5_out_3_p_0_s_0.gif"></td><td style='text-align:center;' ><img width="250px" src="cnn-in_5_out_4_p_2_s_2.gif"></td></tr><tr><td style='text-align:center;' >m = 3, p = 0 ,s = 1</td><td style='text-align:center;' >m = 3, p = 2 ,s = 2</td></tr><tr><td style='text-align:center;' ><img width="250px" src="cnn-in_3_out_5.gif"></td><td style='text-align:center;' ><img width="250px" src="cnn-in_9_out_5.gif"></td></tr><tr><td style='text-align:center;' >m = 3, p = 2 ,s = 1</td><td style='text-align:center;' >m=5, p = 2 ,s = 2</td></tr></tbody></table><p> m表示卷积核大小，p 表示零填充大小（zero-padding）， s 表示步长（stride）。</p><p></p><p>图片修改自： Vincent Dumoulin, Francesco Visin - [A guide to convolution arithmetic
for deep learning](<a href='https://arxiv.org/abs/1603.07285' target='_blank' >https://arxiv.org/abs/1603.07285</a>)</p></div>
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