to_skip(of="conv1",to="sum"), 绘制后如下图所示,发现其效果仍有些奇怪,主要有两点:一是连线直接从层上引出,二是连线角度不是横平竖直,上述两点仍使得整体图不够美观。 自定义 to_skip 连接 阅读官方的 fcn8.tex 代码,对其残差连接部分进行分析,发现 latex 语法可以实现折线连接,只不过 to_skip 方法中...
to_skip( of='ccr_b3', to='ccr_res_b7', pos=1.25), *block_Unconv( name="b8", botton="end_b7", top='end_b8', s_filer=256, n_filer=128, offset="(2.1,0,0)", size=(32,32,3.5), opacity=0.5), to_skip( of='ccr_b2', to='ccr_res_b8', pos=1.25), *block_Unconv( ...
to_skip( of='ccr_b3', to='ccr_res_b7', pos=1.25), *block_Unconv( name="b8", botton="end_b7", top='end_b8', s_filer=256, n_filer=128, offset="(2.1,0,0)", size=(32,32,3.5), opacity=0.5), to_skip( of='ccr_b2', to='ccr_res_b8', pos=1.25), *block_Unconv( ...
to_skip()添加一层带Relu激活函数的卷积层，跨连接，参数为：起始位置、中止位置，pos默认为1.25 to_...
to_skip(of='ccr_b1',to='ccr_res_b9',pos=1.25), to_ConvSoftMax(name"soft1",s_filer=512,offset="(0.75,0,0)",to="(end_b9-east)",width=1,height=40,depth=40,caption="SOFT"), to_connection("end_b9","soft1"), to_end() ...
Input layersDense (fully connected) layersConvolutional layersPooling layersUnpooling layersActivations layers (ReLu, Softmax)Skip-Layer connectionsResidual layersSum / Add layersOutput layers 所以一些特殊层还是需要LaTeX版本。总结 PlotNeuralNet十分强大，ChatGPT也很强大，使用ChatGPT可以让我们的任务更容易，...
(25,25,4.5), opacity=0.5), to_skip( of='ccr_b3', to='ccr_res_b7', pos=1.25), *block_Unconv( name="b8", botton="end_b7", top='end_b8', s_filer=256, n_filer=128, offset="(2.1,0,0)", size=(32,32,3.5), opacity=0.5), to_skip( of='ccr_b2', to='ccr_res_b8'...
to_head( '..' ), to_cor(), to_begin(), to_Conv("conv1", 512, 64, offset="(0,0,0)", to="(0,0,0)", height=64, depth=64, width=2 ), to_Pool("pool1", offset="(0,0,0)", to="(conv1-east)"), to_Conv("conv2", 128, 64, offset="(1,0,0)", to="(pool1...
to_connection("pool_b4","ccr_b5"),# 解码器# 多个block,每个为unconv*block_Unconv(name="b6",botton="ccr_b5",top='end_b6',s_filer=64,n_filer=512,offset="(2.1,0,0)",size=(16,16,5.0),opacity=0.5),to_skip(of='ccr_b4',to='ccr_res_b6',pos=1.25),*block_Unconv(name="b7"...
to_connection("pool1","conv2"), to_Pool("pool2",offset="(0,0,0)",to="(conv2-east)",height=28,depth=28,width=1), to_SoftMax("soft1", 10 ,"(3,0,0)","(pool1-east)",caption="SOFT"), to_connection("pool2","soft1"), ...