Research Article

Local Binary Convolutional Neural Networks' Long Short-Term Memory Model for Human Embryos' Anomaly Detection

Table 3

Details of the architecture of LBCNN-4L network.

Layer (type)Output shapeParam #Connected to

Input (input layer)(1024, 1024, 3)0 
Lbc_1 (LBC)(1024, 1024, 3)13824Input
conv2d_2 (Conv2D)(1024, 1024, 3)8192lbc_1
lbc_2 (LBC)(512, 512, 512)294912conv2d_2
conv2d_3 (Conv2D)(512, 512, 512)262144lbc_2
conv2d_4 (Conv2D)(512, 512, 512)262656conv2d_3
lbc_3 (LBC)(512, 512, 512)4718592conv2d_4
conv2d_5 (Conv2D)(512, 512, 512)262144lbc_3
add_1 (Add)(512, 512, 512)0conv2d_3 and conv2d_5
lbc_4 (LBC)(256, 256, 512)4718592add_1
conv2d_6 (Conv2D)(256, 256, 256)131072lbc_4
conv2d_7 (Conv2D)(256, 256, 256)65792conv2d_6
lbc_5 (LBC)(256, 256, 512)2359296conv2d_7
conv2d_8 (Conv2D)(256, 256, 256)131072lbc_5
add_2 (Add)(256, 256, 256)0conv2d_6 and conv2d_8
lbc_6 (LBC)(128, 128, 512)2359296add_2
conv2d_9 (Conv2D)(128, 128, 128)65536lbc_6
conv2d_10 (Conv2D)(128, 128, 128)16512conv2d_9
lbc_7 (LBC)(128, 128, 512)1179648conv2d_10
conv2d_11 (Conv2D)(128, 128, 128)65536lbc_7
add_3 (Add)(128, 128, 128)0conv2d_9 and conv2d_11
lbc_8 (LBC)(64, 64, 512)1179648add_3
conv2d_12 (Conv2D)(64, 64, 64)32768lbc_8
conv2d_13 (Conv2D)(64, 64, 64)4160conv2d_12
lbc_9 (LBC)(64, 64, 512)589824conv2d_13
conv2d_14 (Conv2D)(64, 64, 64)32768lbc_9
add_4 (Add)(64, 64, 64)0conv2d_12 and conv2d_14
Average pool (GlobalAveragePooling2)(64)0add_4