Rapid Detection of Hybrid Maize Parental Lines Using Stacking Ensemble Machine Learning

Table 4

Model summary of EfficientNet B1.

Layer (type)	Output shape	Param #	Connected to
input (InputLayer)	(None, 240, 240, 3)	0
stem_conv (Conv2D)	(None, 120, 120, 32)	864	input_2[0][0]
stem_bn (BatchNormalization)	(None, 120, 120, 32)	128	stem_conv[0][0]
stem_activation (Activation)	(None, 120, 120, 32)	0	stem_bn[0][0]
block1a_dwconv (DepthwiseConv2D)	(None, 120, 120, 32)	288	stem_activation[0][0]
block1a_bn (BatchNormalization)	(None, 120, 120, 32)	128	block1a_dwconv[0][0]
block1a_activation (Activation)	(None, 120, 120, 32)	0	block1a_bn[0][0]
block1a_se_squeeze (GlobalAvera)	(None, 32)	0	block1a_activation[0][0]
block1a_se_reshape (Reshape)	(None, 1, 1, 32)	0	block1a_se_squeeze[0][0]
block1a_se_reduce (Conv2D)	(None, 1, 1, 8)	264	block1a_se_reshape[0][0]
block1a_se_expand (Conv2D)	(None, 1, 1, 32)	288	block1a_se_reduce[0][0]
block1a_se_excite (Multiply)	(None, 120, 120, 32)	0	block1a_activation[0][0]
			block1a_se_expand[0][0]
block1a_project_conv (Conv2D)	(None, 120, 120, 16)	512	block1a_se_excite[0][0]
block1a_project_bn (BatchNormal)	(None, 120, 120, 16)	64	block1a_project_conv[0][0]
Continue to block 1b until block 7a (script not shown)
block7b_expand_conv (Conv2D)	(None, 8, 8, 1920)	614400	block7a_project_bn[0][0]
block7b_expand_bn (BatchNormali)	(None, 8, 8, 1920)	7680	block7b_expand_conv[0][0]
block7b_expand_activation (Acti)	(None, 8, 8, 1920)	0	block7b_expand_bn[0][0]
block7b_dwconv (DepthwiseConv2D)	(None, 8, 8, 1920)	17280	block7b_expand_activation[0][0]
block7b_bn (BatchNormalization)	(None, 8, 8, 1920)	7680	block7b_dwconv[0][0]
block7b_activation (Activation)	(None, 8, 8, 1920)	0	block7b_bn[0][0]
block7b_se_squeeze (GlobalAvera)	(None, 1920)	0	block7b_activation[0][0]
block7b_se_reshape (Reshape)	(None, 1, 1, 1920)	0	block7b_se_squeeze[0][0]
block7b_se_reduce (Conv2D)	(None, 1, 1, 80)	153680	block7b_se_reshape[0][0]
block7b_se_expand (Conv2D)	(None, 1, 1, 1920)	155520	block7b_se_reduce[0][0]
block7b_se_excite (Multiply)	(None, 8, 8, 1920)	0	block7b_activation[0][0]
			block7b_se_expand[0][0]
block7b_project_conv (Conv2D)	(None, 8, 8, 320)	614400	block7b_se_excite[0][0]
block7b_project_bn (BatchNormal)	(None, 8, 8, 320)	1280	block7b_project_conv[0][0]
block7b_drop (FixedDropout)	(None, 8, 8, 320)	0	block7b_project_bn[0][0]
block7b_add (Add)	(None, 8, 8, 320)	0	block7b_drop[0][0]
			block7a_project_bn[0][0]
top_conv (Conv2D)	(None, 8, 8, 1280)	409600	block7b_add[0][0]
top_bn (BatchNormalization)	(None, 8, 8, 1280)	5120	top_conv[0][0]
top_activation (Activation)	(None, 8, 8, 1280)	0	top_bn[0][0]
global_average_pooling2d_1 (Glo)	(None, 1280)	0	top_activation[0][0]
dropout_4 (Dropout)	(None, 1280)	0	global_average_pooling2d_1[0][0]
dense_4 (Dense)	(None, 1024)	1311744	dropout_4[0][0]
dense_5 (Dense)	(None, 3)	3075	dense_4[0][0]
Layer (type)	Output shape	Param #	Connected to
Input (InputLayer)	(None, 240, 240, 3)	0