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handwriting_recognition_pytorch
===================================================================================
Kernel Shape Output Shape Params \
Layer
0_rb1.convb1.Conv2d_conv [3, 16, 3, 3] [1, 16, 32, 128] 448.0
1_rb1.convb1.BatchNorm2d_bn [16] [1, 16, 32, 128] 32.0
2_rb1.LeakyReLU_act1 - [1, 16, 32, 128] -
3_rb1.convb2.Conv2d_conv [16, 16, 3, 3] [1, 16, 32, 128] 2.32k
4_rb1.convb2.BatchNorm2d_bn [16] [1, 16, 32, 128] 32.0
5_rb1.Conv2d_shortcut [3, 16, 1, 1] [1, 16, 32, 128] 64.0
6_rb1.LeakyReLU_act2 - [1, 16, 32, 128] -
7_rb1.Dropout_dropout - [1, 16, 32, 128] -
8_rb2.convb1.Conv2d_conv [16, 16, 3, 3] [1, 16, 16, 64] 2.32k
9_rb2.convb1.BatchNorm2d_bn [16] [1, 16, 16, 64] 32.0
10_rb2.LeakyReLU_act1 - [1, 16, 16, 64] -
11_rb2.convb2.Conv2d_conv [16, 16, 3, 3] [1, 16, 16, 64] 2.32k
12_rb2.convb2.BatchNorm2d_bn [16] [1, 16, 16, 64] 32.0
13_rb2.Conv2d_shortcut [16, 16, 1, 1] [1, 16, 16, 64] 272.0
14_rb2.LeakyReLU_act2 - [1, 16, 16, 64] -
15_rb2.Dropout_dropout - [1, 16, 16, 64] -
16_rb3.convb1.Conv2d_conv [16, 16, 3, 3] [1, 16, 16, 64] 2.32k
17_rb3.convb1.BatchNorm2d_bn [16] [1, 16, 16, 64] 32.0
18_rb3.LeakyReLU_act1 - [1, 16, 16, 64] -
19_rb3.convb2.Conv2d_conv [16, 16, 3, 3] [1, 16, 16, 64] 2.32k
20_rb3.convb2.BatchNorm2d_bn [16] [1, 16, 16, 64] 32.0
21_rb3.LeakyReLU_act2 - [1, 16, 16, 64] -
22_rb3.Dropout_dropout - [1, 16, 16, 64] -
23_rb4.convb1.Conv2d_conv [16, 32, 3, 3] [1, 32, 8, 32] 4.64k
24_rb4.convb1.BatchNorm2d_bn [32] [1, 32, 8, 32] 64.0
25_rb4.LeakyReLU_act1 - [1, 32, 8, 32] -
26_rb4.convb2.Conv2d_conv [32, 32, 3, 3] [1, 32, 8, 32] 9.248k
27_rb4.convb2.BatchNorm2d_bn [32] [1, 32, 8, 32] 64.0
28_rb4.Conv2d_shortcut [16, 32, 1, 1] [1, 32, 8, 32] 544.0
29_rb4.LeakyReLU_act2 - [1, 32, 8, 32] -
30_rb4.Dropout_dropout - [1, 32, 8, 32] -
31_rb5.convb1.Conv2d_conv [32, 32, 3, 3] [1, 32, 8, 32] 9.248k
32_rb5.convb1.BatchNorm2d_bn [32] [1, 32, 8, 32] 64.0
33_rb5.LeakyReLU_act1 - [1, 32, 8, 32] -
34_rb5.convb2.Conv2d_conv [32, 32, 3, 3] [1, 32, 8, 32] 9.248k
35_rb5.convb2.BatchNorm2d_bn [32] [1, 32, 8, 32] 64.0
36_rb5.LeakyReLU_act2 - [1, 32, 8, 32] -
37_rb5.Dropout_dropout - [1, 32, 8, 32] -
38_rb6.convb1.Conv2d_conv [32, 64, 3, 3] [1, 64, 4, 16] 18.496k
39_rb6.convb1.BatchNorm2d_bn [64] [1, 64, 4, 16] 128.0
40_rb6.LeakyReLU_act1 - [1, 64, 4, 16] -
41_rb6.convb2.Conv2d_conv [64, 64, 3, 3] [1, 64, 4, 16] 36.928k
42_rb6.convb2.BatchNorm2d_bn [64] [1, 64, 4, 16] 128.0
43_rb6.Conv2d_shortcut [32, 64, 1, 1] [1, 64, 4, 16] 2.112k
44_rb6.LeakyReLU_act2 - [1, 64, 4, 16] -
45_rb6.Dropout_dropout - [1, 64, 4, 16] -
46_rb7.convb1.Conv2d_conv [64, 64, 3, 3] [1, 64, 4, 16] 36.928k
47_rb7.convb1.BatchNorm2d_bn [64] [1, 64, 4, 16] 128.0
48_rb7.LeakyReLU_act1 - [1, 64, 4, 16] -
49_rb7.convb2.Conv2d_conv [64, 64, 3, 3] [1, 64, 4, 16] 36.928k
50_rb7.convb2.BatchNorm2d_bn [64] [1, 64, 4, 16] 128.0
51_rb7.LeakyReLU_act2 - [1, 64, 4, 16] -
52_rb7.Dropout_dropout - [1, 64, 4, 16] -
53_rb8.convb1.Conv2d_conv [64, 64, 3, 3] [1, 64, 4, 16] 36.928k
54_rb8.convb1.BatchNorm2d_bn [64] [1, 64, 4, 16] 128.0
55_rb8.LeakyReLU_act1 - [1, 64, 4, 16] -
56_rb8.convb2.Conv2d_conv [64, 64, 3, 3] [1, 64, 4, 16] 36.928k
57_rb8.convb2.BatchNorm2d_bn [64] [1, 64, 4, 16] 128.0
58_rb8.LeakyReLU_act2 - [1, 64, 4, 16] -
59_rb8.Dropout_dropout - [1, 64, 4, 16] -
60_rb9.convb1.Conv2d_conv [64, 64, 3, 3] [1, 64, 4, 16] 36.928k
61_rb9.convb1.BatchNorm2d_bn [64] [1, 64, 4, 16] 128.0
62_rb9.LeakyReLU_act1 - [1, 64, 4, 16] -
63_rb9.convb2.Conv2d_conv [64, 64, 3, 3] [1, 64, 4, 16] 36.928k
64_rb9.convb2.BatchNorm2d_bn [64] [1, 64, 4, 16] 128.0
65_rb9.LeakyReLU_act2 - [1, 64, 4, 16] -
66_rb9.Dropout_dropout - [1, 64, 4, 16] -
67_lstm - [1, 64, 256] 198.656k
68_lstm_dropout - [1, 64, 256] -
69_output [256, 79] [1, 64, 79] 20.303k
-----------------------------------------------------------------------------------
Totals
Total params 544.847k
Trainable params 544.847k
Non-trainable params 0.0
Mult-Adds 47.53456M
===================================================================================
Backend TkAgg is interactive backend. Turning interactive mode on.
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