# 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}{**Activations**} & & & & \multicolumn{1}{c}{**Learables**} \\ \hline
17 & bn2b\_branch2b & Batch Normalization & 56 & 56 & 64 & 1 & SSCB & 128 \\
18 & res2b & Addition & 56 & 56 & 64 & 1 & SSCB & 0 \\
19 & res2b\_relu & ReLU & 56 & 56 & 64 & 1 & SSCB & 0 \\
20 & res3a\_branch2a & 2-D Convolution & 28 & 28 & 128 & 1 & SSCB & 73,856 \\
21 & bn3a\_branch2a & Batch Normalization & 28 & 28 & 128 & 1 & SSCB & 256 \\
22 & res3a\_branch2a\_relu & ReLU & 28 & 28 & 128 & 1 & SSCB & 0 \\
23 & res3a\_branch2b & 2-D Convolution & 28 & 28 & 128 & 1 & SSCB & 147,584 \\
24 & bn3a\_branch2b & Batch Normalization & 28 & 28 & 128 & 1 & SSCB & 256 \\
25 & res3a\_branch1 & 2-D Convolution & 28 & 28 & 128 & 1 & SSCB & 8320 \\
26 & bn3a\_branch1 & Batch Normalization & 28 & 28 & 128 & 1 & SSCB & 256 \\
27 & res3a & Addition & 28 & 28 & 128 & 1 & SSCB & 0 \\
28 & res3a\_relu & ReLU & 28 & 28 & 128 & 1 & SSCB & 0 \\
29 & res3b\_branch2a & 2-D Convolution & 28 & 28 & 128 & 1 & SSCB & 147,584 \\
30 & bn3b\_branch2a & Batch Normalization & 28 & 28 & 128 & 1 & SSCB & 256 \\
31 & res3b\_branch2a\_relu & ReLU & 28 & 28 & 128 & 1 & SSCB & 0 \\
32 & res3b\_branch2b & 2-D Convolution & 28 & 28 & 128 & 1 & SSCB & 147,584 \\
33 & res3b\_branch2b & Batch Normalization & 28 & 28 & 128 & 1 & SSCB & 256 \\
34 & res3b & Addition & 28 & 28 & 128 & 1 & SSCB & 0 \\
35 & res3b\_relu & ReLU & 28 & 28 & 128 & 1 & SSCB & 0 \\
36 & res4a\_branch2a & 2-D Convolution & 14 & 14 & 256 & 1 & SSCB & 295,168 \\
37 & bn4a\_branch2a & Batch Normalization & 14 & 14 & 256 & 1 & SSCB & 512 \\
38 & res4a\_branch2a\_relu & ReLU & 14 & 14 & 256 & 1 & SSCB & 0 \\
39 & res4a\_branch2b & 2-D Convolution & 14 & 14 & 256 & 1 & SSCB & 590,080 \\
40 & bn4a\_branch2b & Batch Normalization & 14 & 14 & 256 & 1 & SSCB & 512 \\
41 & res4a\_branch1 & 2-D Convolution & 14 & 14 & 256 & 1 & SSCB & 512 \\
42 & bn4a\_branch1 & Batch Normalization & 14 & 14 & 256 & 1 & SSCB & 512 \\
43 & res4a\_ & Addition & 14 & 14 & 256 & 1 & SSCB & 0 \\
44 & res4a\_relu & ReLU & 14 & 14 & 256 & 1 & SSCB & 0 \\
45 & res4b\_branch2a & 2-D Convolution & 14 & 14 & 256 & 1 & SSCB & 590,080 \\
46 & bn4b\_branch2a & Batch Normalization & 14 & 14 & 256 & 1 & SSCB & 512 \\
47 & res4b\_branch2a\_relu & ReLU & 14 & 14 & 256 & 1 & SSCB & 0 \\
48 & res4b\_branch2b & 2-D Convolution & 14 & 14 & 256 & 1 & SSCB & 590,080 \\
49 & bn4b\_branch2b & Batch Normalization & 14 & 14 & 256 & 1 & SSCB & 512 \\
50 & res4b\_ & Addition & 14 & 14 & 256 & 1 & SSCB & 0 \\
51 & res4b\_relu & ReLU & 14 & 14 & 256 & 1 & SSCB & 0 \\
52 & res5a\_branch2a & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 1,180,160 \\
53 & bn5a\_branch2a & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 1024 \\
54 & res5a\_branch2a\_relu & ReLU & 14 & 14 & 512 & 1 & SSCB & 0 \\
55 & res5a\_branch2b & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
56 & bn5a\_branch2b & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 1024 \\
57 & res5a\_branch1 & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 131,584 \\
58 & bn5a\_branch1 & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 1024 \\
59 & res5a & Addition & 14 & 14 & 512 & 1 & SSCB & 0 \\
60 & res5a\_relu & ReLU & 14 & 14 & 512 & 1 & SSCB & 0 \\
61 & res5b\_branch2a & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
62 & bn5b\_branch2a & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 1024 \\
63 & res5b\_branch2b & ReLU & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
64 & res5b\_branch2b & 2-D Convolution & 14 & 14 & 512 & 1 & SSCB & 1024 \\
65 & bn5b\_branch2b & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 2,359,808 \\
66 & res5b\_branch2b & Batch Normalization & 14 & 14 & 512 & 1 & SSCB & 1024 \\
66 & res5b\_ & Addition & 14 & 14 & 512 & 1 & SSCB & 0 \\
67 & res5b\_relu & ReLU & 14 & 14 & 512 & 1 & SSCB & 0 \\
68 & aspp\_Conv\_1 & 2-D Convolution & 14 & 14 & 256 & 1 & SSCB & 131,328 \\
69 & aspp\_BatchNorm\_1 & Batch Normalization & 14 & 14 & 256 & 1 & SSCB & 512 \\
70 & aspp\_relu\_1 & ReLU & 14 & 14 & 256 & 1 & SSCB & 0 \\
71 & aspp\_Conv\_2 & 2-D Convolution & 14 & 14 & 256 & 1 & SSCB & 1,179,904 \\
72 & aspp\_BatchNorm\_2 & Batch Normalization & 14 & 14 & 256 & 1 & SSCB & 512 \\
73 & aspp\_Relu\_2 & ReLU & 14 & 14 & 256 & 1 & SSCB & 0 \\
74 & aspp\_Conv\_3 & 2-D Convolution & 14 & 14 & 256 & 1 & SSCB & 1,179,904 \\ \hline \end{tabular}
\end{table}