# A Deep Learning Approach to Semantic Segmentation of Steel Microstructures
## 5 Conclusions
\begin{table}
\begin{tabular}{r l l l r r r r r} \hline  & \multicolumn{1}{c}{**Name**} & \multicolumn{1}{c}{**Type**} & \multicolumn{1}{c}{**Activations**} & & & \multicolumn{1}{c}{**Learnables**} \\ \hline
1 & input\_1 & Image Input & 224 & 224 & 3 & 1 & SSCB & 0 \\
2 & conv1 & 2-D Convolution & 112 & 112 & 64 & 1 & SSCB & 9472 \\
3 & bn\_conv1 & Batch Normalization & 112 & 112 & 64 & 1 & SSCB & 128 \\
4 & activation\_1\_relu & ReLU & 112 & 112 & 64 & 1 & SSCB & 0 \\
5 & max\_pooling2d\_1 & 2-D Max Pooling & 56 & 56 & 64 & 1 & SSCB & 0 \\
6 & res2a\_branch2a & 2-D Convolution & 56 & 56 & 64 & 1 & SSCB & 4160 \\
7 & bn2a\_branch2a & Batch Normalization & 56 & 56 & 64 & 1 & SSCB & 128 \\
8 & activation\_2\_relu & ReLU & 56 & 56 & 64 & 1 & SSCB & 0 \\
9 & res2a\_branch2b & 2-D Convolution & 56 & 56 & 64 & 1 & SSCB & 36,928 \\
10 & bn2a\_branch2b & Batch Normalization & 56 & 56 & 64 & 1 & SSCB & 128 \\
11 & activation\_3\_relu & ReLU & 56 & 56 & 64 & 1 & SSCB & 0 \\
12 & res2a\_branch2c & 2-D Convolution & 56 & 56 & 256 & 1 & SSCB & 16,640 \\
13 & res2a\_branch1 & 2-D Convolution & 56 & 56 & 256 & 1 & SSCB & 16,640 \\
14 & bn2a\_branch2c & Batch Normalization & 56 & 56 & 256 & 1 & SSCB & 512 \\
15 & bn2a\_branch1 & Batch Normalization & 56 & 56 & 256 & 1 & SSCB & 512 \\
16 & add\_1 & Addition & 56 & 56 & 256 & 1 & SSCB & 0 \\
17 & activation\_4\_relu & ReLU & 56 & 56 & 256 & 1 & SSCB & 0 \\
18 & res2b\_branch2a & 2-D Convolution & 56 & 56 & 64 & 1 & SSCB & 16,448 \\
19 & bn2b\_branch2a & Batch Normalization & 56 & 56 & 64 & 1 & SSCB & 0 \\
20 & activation\_5\_relu & ReLU & 56 & 56 & 64 & 1 & SSCB & 0 \\
21 & res2b\_branch2b & 2-D Convolution & 56 & 56 & 64 & 1 & SSCB & 36,928 \\
22 & bn2b\_branch2b & Batch Normalization & 56 & 56 & 64 & 1 & SSCB & 128 \\
23 & activation\_6\_relu & ReLU & 56 & 56 & 64 & 1 & SSCB & 0 \\
24 & res2b\_branch2c & 2-D Convolution & 56 & 56 & 64 & 1 & SSCB & 16,640 \\
25 & bn2b\_branch2c & Batch Normalization & 56 & 56 & 64 & 1 & SSCB & 0 \\
26 & add\_2 & Addition & 56 & 56 & 256 & 1 & SSCB & 0 \\
27 & activation\_7\_relu & ReLU & 56 & 56 & 256 & 1 & SSCB & 0 \\
28 & res2c\_branch2a & 2-D Convolution & 56 & 56 & 64 & 1 & SSCB & 16,448 \\
29 & bn2c\_branch2a & Batch Normalization & 56 & 56 & 64 & 1 & SSCB & 128 \\
30 & activation\_8\_relu & ReLU & 56 & 56 & 64 & 1 & SSCB & 0 \\
31 & res2c\_branch2b & 2-D Convolution & 56 & 56 & 64 & 1 & SSCB & 0 \\
32 & bn2c\_branch2b & Batch Normalization & 56 & 56 & 64 & 1 & SSCB & 128 \\
33 & activation\_9\_relu & ReLU & 56 & 56 & 64 & 1 & SSCB & 0 \\
34 & res2c\_branch2c & 2-D Convolution & 56 & 56 & 256 & 1 & SSCB & 16,640 \\
35 & bn2c\_branch2c & Batch Normalization & 56 & 56 & 256 & 1 & SSCB & 512 \\
36 & add\_3 & Addition & 56 & 56 & 256 & 1 & SSCB & 0 \\
37 & activation\_10\_relu & ReLU & 56 & 56 & 256 & 1 & SSCB & 0 \\
38 & res3a\_branch2a & 2-D Convolution & 28 & 28 & 128 & 1 & SSCB & 32,896 \\
39 & bn3a\_branch2a & Batch Normalization & 28 & 28 & 128 & 1 & SSCB & 256 \\
40 & activation\_11\_relu & ReLU & 28 & 28 & 128 & 1 & SSCB & 0 \\
41 & res3a\_branch2b & 2-D Convolution & 28 & 28 & 128 & 1 & SSCB & 147,584 \\
42 & bn3a\_branch2b & Batch Normalization & 28 & 28 & 128 & 1 & SSCB & 256 \\
43 & activation\_12\_relu & ReLU & 28 & 28 & 128 & 1 & SSCB & 0 \\
44 & res3a\_branch2c & 2-D Convolution & 28 & 28 & 512 & 1 & SSCB & 0 \\
45 & res3a\_branch1 & 2-D Convolution & 28 & 28 & 512 & 1 & SSCB & 1024 \\
46 & bn3a\_branch1 & Batch Normalization & 28 & 28 & 512 & 1 & SSCB & 1024 \\
47 & bn3a\_branch1 & Batch Normalization & 28 & 28 & 512 & 1 & SSCB & 1024 \\
48 & add\_4 & Addition & 28 & 28 & 512 & 1 & SSCB & 0 \\
49 & activation\_13\_relu & ReLU & 28 & 28 & 128 & 1 & SSCB & 0 \\
50 & res3b\_branch2a & 2-D Convolution & 28 & 28 & 128 & 1 & SSCB & 65,664 \\
51 & bn3b\_branch2a & Batch Normalization & 28 & 28 & 128 & 1 & SSCB & 256 \\
52 & activation\_14\_relu & ReLU & 28 & 28 & 128 & 1 & SSCB & 0 \\
53 & res3b\_branch2b & 2-D Convolution & 28 & 28 & 128 & 1 & SSCB & 147,584 \\
54 & bn3b\_branch2b & Batch Normalization & 28 & 28 & 128 & 1 & SSCB & 256 \\
55 & activation\_15\_relu & ReLU & 28 & 28 & 128 & 1 & SSCB & 0 \\
56 & res3b\_branch2c & 2-D Convolution & 28 & 28 & 512 & 1 & SSCB & 0 \\
57 & bn3b\_branch2c & Batch Normalization & 28 & 28 & 512 & 1 & SSCB & 1024 \\ \hline \end{tabular}
\end{table}