# A Deep Learning Approach to Semantic Segmentation of Steel Microstructures
## 5 Conclusions
\begin{table}
\begin{tabular}{r l l r r r r r} \hline  & **Name** & **Type** & **Activations** & & & & **Learables** \\ \hline
28 & block\_3\_expand\_BN & Batch Normalization & 56 & 56 & 144 & 1 & SSCB & 288 \\
29 & block\_3\_expand\_relu & Clipped ReLU & 56 & 56 & 144 & 1 & SSCB & 0 \\
30 & block\_3\_depthwise & 2-D Grouped Convolution & 28 & 28 & 144 & 1 & SSCB & 1440 \\
31 & block\_3\_depthwise\_BN & Batch Normalization & 28 & 28 & 144 & 1 & SSCB & 288 \\
32 & block\_3\_depthwise\_relu & Clipped ReLU & 28 & 28 & 144 & 1 & SSCB & 0 \\
33 & block\_3\_project & 2-D Convolution & 28 & 28 & 32 & 1 & SSCB & 4640 \\
34 & block\_3\_project\_BN & Batch Normalization & 28 & 28 & 32 & 1 & SSCB & 64 \\
35 & block\_4\_expand & 2-D Convolution & 28 & 28 & 192 & 1 & SSCB & 6336 \\
36 & block\_4\_expand\_BN & Batch Normalization & 28 & 28 & 192 & 1 & SSCB & 384 \\
37 & block\_4\_expand\_relu & Clipped ReLU & 28 & 28 & 192 & 1 & SSCB & 0 \\
38 & block\_4\_depthwise & 2-D Grouped Convolution & 28 & 28 & 192 & 1 & SSCB & 1920 \\
39 & block\_4\_depthwise\_BN & Batch Normalization & 28 & 28 & 192 & 1 & SSCB & 384 \\
40 & block\_4\_depthwise\_relu & Clipped ReLU & 28 & 28 & 192 & 1 & SSCB & 0 \\
41 & block\_4\_project & 2-D Convolution & 28 & 28 & 32 & 1 & SSCB & 6176 \\
42 & block\_4\_project\_BN & Batch Normalization & 28 & 28 & 32 & 1 & SSCB & 64 \\
43 & block\_4\_add & Addition & 28 & 28 & 32 & 1 & SSCB & 0 \\
44 & block\_5\_expand & 2-D Convolution & 28 & 28 & 192 & 1 & SSCB & 6336 \\
45 & block\_5\_expand\_BN & Batch Normalization & 28 & 28 & 192 & 1 & SSCB & 384 \\
46 & block\_5\_expand\_relu & Clipped ReLU & 28 & 28 & 192 & 1 & SSCB & 0 \\
47 & block\_5\_depthwise & 2-D Grouped Convolution & 28 & 28 & 192 & 1 & SSCB & 1920 \\
48 & block\_5\_depthwise\_BN & Batch Normalization & 28 & 28 & 192 & 1 & SSCB & 384 \\
49 & block\_5\_depthwise\_relu & Clipped ReLU & 28 & 28 & 192 & 1 & SSCB & 0 \\
50 & block\_5\_project & 2-D Convolution & 28 & 28 & 32 & 1 & SSCB & 6176 \\
51 & block\_5\_project\_BN & Batch Normalization & 28 & 28 & 32 & 1 & SSCB & 64 \\
52 & block\_5\_add & Addition & 28 & 28 & 32 & 1 & SSCB & 0 \\
53 & block\_6\_expand & 2-D Convolution & 28 & 28 & 192 & 1 & SSCB & 6336 \\
54 & block\_6\_depthwise & 2-D Grouped Convolution & 14 & 14 & 192 & 1 & SSCB & 384 \\
55 & block\_6\_depthwise\_BN & Batch Normalization & 14 & 14 & 192 & 1 & SSCB & 1920 \\
57 & block\_6\_depthwise\_relu & Batch Normalization & 14 & 14 & 192 & 1 & SSCB & 384 \\
58 & block\_6\_depthwise\_relu & Clipped ReLU & 14 & 14 & 192 & 1 & SSCB & 0 \\
59 & block\_6\_project & 2-D Convolution & 14 & 14 & 64 & 1 & SSCB & 12,352 \\
60 & block\_6\_project\_BN & Batch Normalization & 14 & 14 & 64 & 1 & SSCB & 128 \\
61 & block\_7\_expand & 2-D Convolution & 14 & 14 & 384 & 1 & SSCB & 24,960 \\
62 & block\_7\_expand\_BN & Batch Normalization & 14 & 14 & 384 & 1 & SSCB & 768 \\
63 & block\_7\_expand\_relu & Clipped ReLU & 14 & 14 & 384 & 1 & SSCB & 0 \\
64 & block\_7\_depthwise & 2-D Grouped Convolution & 14 & 14 & 384 & 1 & SSCB & 3840 \\
65 & block\_7\_depthwise\_BN & Batch Normalization & 14 & 14 & 384 & 1 & SSCB & 768 \\
66 & block\_7\_depthwise\_relu & Clipped ReLU & 14 & 14 & 384 & 1 & SSCB & 0 \\
67 & block\_7\_project & 2-D Convolution & 14 & 14 & 64 & 1 & SSCB & 24,640 \\
68 & block\_7\_project\_BN & Batch Normalization & 14 & 14 & 64 & 1 & SSCB & 128 \\
69 & block\_7\_add & Addition & 14 & 14 & 64 & 1 & SSCB & 0 \\
70 & block\_8\_expand & 2-D Convolution & 14 & 14 & 384 & 1 & SSCB & 24,960 \\
71 & block\_8\_expand\_BN & Batch Normalization & 14 & 14 & 384 & 1 & SSCB & 768 \\
72 & block\_8\_expand\_relu & Clipped ReLU & 14 & 14 & 384 & 1 & SSCB & 0 \\
73 & block\_8\_depthwise\_BN & Batch Normalization & 14 & 14 & 384 & 1 & SSCB & 3840 \\
74 & block\_8\_depthwise\_BN & Batch Normalization & 14 & 14 & 384 & 1 & SSCB & 768 \\
75 & block\_8\_depthwise\_relu & Clipped ReLU & 14 & 14 & 384 & 1 & SSCB & 0 \\
76 & block\_8\_project & 2-D Convolution & 14 & 14 & 64 & 1 & SSCB & 24,640 \\
77 & block\_8\_project\_BN & Batch Normalization & 14 & 14 & 64 & 1 & SSCB & 128 \\
78 & block\_8\_add & Addition & 14 & 14 & 64 & 1 & SSCB & 0 \\
79 & block\_9\_expand & 2-D Convolution & 14 & 14 & 384 & 1 & SSCB & 24,960 \\
80 & block\_9\_expand\_BN & Batch Normalization & 14 & 14 & 384 & 1 & SSCB & 768 \\
81 & block\_9\_expand\_relu & Clipped ReLU & 14 & 14 & 384 & 1 & SSCB & 0 \\
82 & block\_9\_depthwise\_2-D Grouped Convolution & 14 & 14 & 384 & 1 & SSCB & 3840 \\
83 & block\_9\_depthwise\_BN & Batch Normalization & 14 & 14 & 384 & 1 & SSCB & 768 \\
84 & block\_9\_depthwise\_relu & Clipped ReLU & 14 & 14 & 384 & 1 & SSCB & 0 \\
85 & block\_9\_project & 2-D Convolution & 14 & 14 & 64 & 1 & SSCB & 24,640 \\
86 & block\_9\_project\_BN & Batch Normalization & 14 & 14 & 64 & 1 & SSCB & 128 \\
87 & block\_9\_add & Addition & 14 & 14 & 64 & 1 & SSCB & 0 \\
88 & block\_10\_expand & 2-D Convolution & 14 & 14 & 384 & 1 & SSCB & 24,960 \\
89 & block\_10\_expand\_BN & Batch Normalization & 14 & 14 & 384 & 1 & SSCB & 768 \\
90 & block\_10\_expand\_relu & Clipped ReLU & 14 & 14 & 384 & 1 & SSCB & 0 \\
91 & block\_10\_depthwise\_2-D Grouped Convolution & 14 & 14 & 384 & 1 & SSCB & 3840 \\
92 & block\_10\_depthwise\_BN & Batch Normalization & 14 & 14 & 384 & 1 & SSCB & 768 \\
93 & block\_10\_depthwise\_relu & Clipped ReLU & 14 & 14 & 384 & 1 & SSCB & 0 \\
94 & block\_10\_project & 2-D Convolution & 14 & 14 & 96 & 1 & SSCB & 36,960 \\
95 & block\_10\_project\_BN & Batch Normalization & 14 & 14 & 96 & 1 & SSCB & 192 \\
96 & block\_11\_expand & 2-D Convolution & 14 & 14 & 576 & 1 & SSCB & 55,872 \\ \hline \end{tabular}
\end{table}