# A Deep Learning Approach to Semantic Segmentation of Steel Microstructures
## 5 Conclusions
\begin{table}
\begin{tabular}{r l l r r r r r r} \hline  & \multicolumn{1}{c}{**Name**} & \multicolumn{1}{c}{**Type**} & \multicolumn{1}{c}{**Activation**} & & & & \multicolumn{1}{c}{**Learnables**} \\ \hline
35 & conv5\_1 & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
36 & bn\_conv5\_1 & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 1024 \\
37 & relu5\_1 & ReLU & 14 & 14 & 512 & 1 & SSCB & 0 \\
38 & conv5\_2 & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
39 & bn\_conv5\_2 & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 1024 \\
40 & relu5\_2 & ReLU & 14 & 14 & 512 & 1 & SSCB & 0 \\
41 & conv5\_3 & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
42 & bn\_conv5\_3 & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
43 & relu5\_3 & ReLU & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
44 & pool5 & 2-D Max Pooling & 14 & 14 & 512 & 1 & SSCB & 0 \\
45 & decoder5\_unpool & 2-D Max Unpooling & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
46 & decoder5\_conv3 & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
47 & decoder5\_bn\_3 & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 1024 \\
48 & decoder5\_relu\_3 & ReLU & 14 & 14 & 512 & 1 & SSCB & 0 \\
49 & decoder5\_conv2 & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
50 & decoder5\_bn\_2 & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 1024 \\
52 & decoder5\_conv1 & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
53 & decoder5\_bn\_1 & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 1024 \\
54 & decoder5\_relu\_1 & ReLU & 14 & 14 & 512 & 1 & SSCB & 0 \\
55 & decoder4\_unpool & 2-D Max Unpooling & 28 & 28 & 512 & 1 & SSCB & 0 \\
56 & decoder4\_conv3 & 2-D Convolution & 28 & 28 & 512 & 1 & SSCB & 2,359,808 \\
57 & decoder4\_bn\_3 & Batch Normalization & 28 & 28 & 512 & 1 & SSCB & 1024 \\
58 & decoder4\_relu\_3 & ReLU & 28 & 28 & 512 & 1 & SSCB & 2,359,808 \\
59 & decoder4\_conv2 & 2-D Convolution & 28 & 28 & 512 & 1 & SSCB & 2,359,808 \\
60 & decoder4\_bn\_2 & Batch Normalization & 28 & 28 & 512 & 1 & SSCB & 1024 \\
61 & decoder4\_relu\_2 & ReLU & 28 & 28 & 512 & 1 & SSCB & 0 \\
62 & decoder4\_conv1 & 2-D Convolution & 28 & 28 & 256 & 1 & SSCB & 1,179,904 \\
63 & decoder4\_bn\_1 & Batch Normalization & 28 & 28 & 256 & 1 & SSCB & 512 \\
64 & decoder4\_relu\_1 & ReLU & 28 & 28 & 256 & 1 & SSCB & 0 \\
65 & decoder3\_unpool & 2-D Max Unpooling & 56 & 56 & 256 & 1 & SSCB & 0 \\
66 & decoder3\_conv3 & 2-D Convolution & 56 & 56 & 256 & 1 & SSCB & 590,080 \\
67 & decoder3\_bn\_3 & Batch Normalization & 56 & 56 & 256 & 1 & SSCB & 512 \\
68 & decoder3\_relu\_3 & ReLU & 56 & 56 & 256 & 1 & SSCB & 590,080 \\
69 & decoder3\_conv2 & 2-D Convolution & 56 & 56 & 256 & 1 & SSCB & 590,080 \\
70 & decoder3\_bn\_2 & Batch Normalization & 56 & 56 & 256 & 1 & SSCB & 512 \\
71 & decoder3\_relu\_2 & ReLU & 56 & 56 & 256 & 1 & SSCB & 0 \\
72 & decoder3\_conv1 & 2-D Convolution & 56 & 56 & 128 & 1 & SSCB & 295,040 \\
73 & decoder3\_bn\_1 & Batch Normalization & 56 & 56 & 128 & 1 & SSCB & 256 \\
74 & decoder3\_relu\_1 & ReLU & 56 & 56 & 128 & 1 & SSCB & 0 \\
75 & decoder2\_unpool & 2-D Max Unpooling & 112 & 112 & 128 & 1 & SSCB & 0 \\
76 & decoder2\_conv2 & 2-D Convolution & 112 & 112 & 128 & 1 & SSCB & 147,584 \\
77 & decoder2\_bn\_2 & Batch Normalization & 112 & 112 & 128 & 1 & SSCB & 256 \\
78 & decoder2\_relu\_2 & ReLU & 112 & 112 & 128 & 1 & SSCB & 0 \\
79 & decoder2\_conv1 & 2-D Convolution & 112 & 112 & 64 & 1 & SSCB & 73,792 \\
80 & decoder2\_bn\_1 & Batch Normalization & 112 & 112 & 64 & 1 & SSCB & 128 \\
81 & decoder2\_relu\_1 & ReLU & 112 & 112 & 64 & 1 & SSCB & 0 \\
82 & decoder1\_unpool & 2-D Max Unpooling & 224 & 224 & 64 & 1 & SSCB & 0 \\
83 & decoder1\_conv2 & 2-D Convolution & 224 & 224 & 64 & 1 & SSCB & 36,928 \\
84 & decoder1\_bn\_2 & Batch Normalization & 224 & 224 & 64 & 1 & SSCB & 128 \\
85 & decoder1\_relu\_2 & ReLU & 224 & 224 & 64 & 1 & SSCB & 0 \\
86 & decoder1\_conv1 & 2-D Convolution & 224 & 224 & 2 & 1 & SSCB & 1154 \\
87 & decoder1\_bn\_1 & Batch Normalization & 224 & 224 & 2 & 1 & SSCB & 4 \\
88 & decoder1\_relu\_1 & ReLU & 224 & 224 & 2 & 1 & SSCB & 0 \\
89 & softmax & Softmax & 224 & 224 & 2 & 1 & SSCB & 0 \\
90 & pixelLabels & Pixel Classification Layer & 224 & 224 & 2 & 1 & SSCB & 0 \\ \hline \end{tabular}
\end{table}