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resnet18.txt
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resnet18.txt
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Model: "model"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) [(None, 224, 224, 3 0 []
)]
rescaling (Rescaling) (None, 224, 224, 3) 0 ['input_1[0][0]']
conv2d (Conv2D) (None, 109, 109, 64 9472 ['rescaling[0][0]']
)
batch_normalization (BatchNorm (None, 109, 109, 64 256 ['conv2d[0][0]']
alization) )
re_lu (ReLU) (None, 109, 109, 64 0 ['batch_normalization[0][0]']
)
max_pooling2d (MaxPooling2D) (None, 54, 54, 64) 0 ['re_lu[0][0]']
conv2d_1 (Conv2D) (None, 54, 54, 64) 36928 ['max_pooling2d[0][0]']
batch_normalization_1 (BatchNo (None, 54, 54, 64) 256 ['conv2d_1[0][0]']
rmalization)
re_lu_1 (ReLU) (None, 54, 54, 64) 0 ['batch_normalization_1[0][0]']
conv2d_2 (Conv2D) (None, 54, 54, 64) 36928 ['re_lu_1[0][0]']
batch_normalization_2 (BatchNo (None, 54, 54, 64) 256 ['conv2d_2[0][0]']
rmalization)
re_lu_2 (ReLU) (None, 54, 54, 64) 0 ['batch_normalization_2[0][0]']
add (Add) (None, 54, 54, 64) 0 ['re_lu_2[0][0]',
'max_pooling2d[0][0]']
re_lu_3 (ReLU) (None, 54, 54, 64) 0 ['add[0][0]']
conv2d_3 (Conv2D) (None, 54, 54, 64) 36928 ['re_lu_3[0][0]']
batch_normalization_3 (BatchNo (None, 54, 54, 64) 256 ['conv2d_3[0][0]']
rmalization)
re_lu_4 (ReLU) (None, 54, 54, 64) 0 ['batch_normalization_3[0][0]']
conv2d_4 (Conv2D) (None, 54, 54, 64) 36928 ['re_lu_4[0][0]']
batch_normalization_4 (BatchNo (None, 54, 54, 64) 256 ['conv2d_4[0][0]']
rmalization)
re_lu_5 (ReLU) (None, 54, 54, 64) 0 ['batch_normalization_4[0][0]']
add_1 (Add) (None, 54, 54, 64) 0 ['re_lu_5[0][0]',
're_lu_3[0][0]']
re_lu_6 (ReLU) (None, 54, 54, 64) 0 ['add_1[0][0]']
conv2d_5 (Conv2D) (None, 27, 27, 128) 73856 ['re_lu_6[0][0]']
batch_normalization_5 (BatchNo (None, 27, 27, 128) 512 ['conv2d_5[0][0]']
rmalization)
re_lu_7 (ReLU) (None, 27, 27, 128) 0 ['batch_normalization_5[0][0]']
conv2d_6 (Conv2D) (None, 27, 27, 128) 147584 ['re_lu_7[0][0]']
batch_normalization_6 (BatchNo (None, 27, 27, 128) 512 ['conv2d_6[0][0]']
rmalization)
conv2d_7 (Conv2D) (None, 27, 27, 128) 8320 ['re_lu_6[0][0]']
re_lu_8 (ReLU) (None, 27, 27, 128) 0 ['batch_normalization_6[0][0]']
batch_normalization_7 (BatchNo (None, 27, 27, 128) 512 ['conv2d_7[0][0]']
rmalization)
add_2 (Add) (None, 27, 27, 128) 0 ['re_lu_8[0][0]',
'batch_normalization_7[0][0]']
re_lu_9 (ReLU) (None, 27, 27, 128) 0 ['add_2[0][0]']
conv2d_8 (Conv2D) (None, 27, 27, 128) 147584 ['re_lu_9[0][0]']
batch_normalization_8 (BatchNo (None, 27, 27, 128) 512 ['conv2d_8[0][0]']
rmalization)
re_lu_10 (ReLU) (None, 27, 27, 128) 0 ['batch_normalization_8[0][0]']
conv2d_9 (Conv2D) (None, 27, 27, 128) 147584 ['re_lu_10[0][0]']
batch_normalization_9 (BatchNo (None, 27, 27, 128) 512 ['conv2d_9[0][0]']
rmalization)
re_lu_11 (ReLU) (None, 27, 27, 128) 0 ['batch_normalization_9[0][0]']
add_3 (Add) (None, 27, 27, 128) 0 ['re_lu_11[0][0]',
're_lu_9[0][0]']
re_lu_12 (ReLU) (None, 27, 27, 128) 0 ['add_3[0][0]']
conv2d_10 (Conv2D) (None, 14, 14, 256) 295168 ['re_lu_12[0][0]']
batch_normalization_10 (BatchN (None, 14, 14, 256) 1024 ['conv2d_10[0][0]']
ormalization)
re_lu_13 (ReLU) (None, 14, 14, 256) 0 ['batch_normalization_10[0][0]']
conv2d_11 (Conv2D) (None, 14, 14, 256) 590080 ['re_lu_13[0][0]']
batch_normalization_11 (BatchN (None, 14, 14, 256) 1024 ['conv2d_11[0][0]']
ormalization)
conv2d_12 (Conv2D) (None, 14, 14, 256) 33024 ['re_lu_12[0][0]']
re_lu_14 (ReLU) (None, 14, 14, 256) 0 ['batch_normalization_11[0][0]']
batch_normalization_12 (BatchN (None, 14, 14, 256) 1024 ['conv2d_12[0][0]']
ormalization)
add_4 (Add) (None, 14, 14, 256) 0 ['re_lu_14[0][0]',
'batch_normalization_12[0][0]']
re_lu_15 (ReLU) (None, 14, 14, 256) 0 ['add_4[0][0]']
conv2d_13 (Conv2D) (None, 14, 14, 256) 590080 ['re_lu_15[0][0]']
batch_normalization_13 (BatchN (None, 14, 14, 256) 1024 ['conv2d_13[0][0]']
ormalization)
re_lu_16 (ReLU) (None, 14, 14, 256) 0 ['batch_normalization_13[0][0]']
conv2d_14 (Conv2D) (None, 14, 14, 256) 590080 ['re_lu_16[0][0]']
batch_normalization_14 (BatchN (None, 14, 14, 256) 1024 ['conv2d_14[0][0]']
ormalization)
re_lu_17 (ReLU) (None, 14, 14, 256) 0 ['batch_normalization_14[0][0]']
add_5 (Add) (None, 14, 14, 256) 0 ['re_lu_17[0][0]',
're_lu_15[0][0]']
re_lu_18 (ReLU) (None, 14, 14, 256) 0 ['add_5[0][0]']
conv2d_15 (Conv2D) (None, 7, 7, 512) 1180160 ['re_lu_18[0][0]']
batch_normalization_15 (BatchN (None, 7, 7, 512) 2048 ['conv2d_15[0][0]']
ormalization)
re_lu_19 (ReLU) (None, 7, 7, 512) 0 ['batch_normalization_15[0][0]']
conv2d_16 (Conv2D) (None, 7, 7, 512) 2359808 ['re_lu_19[0][0]']
batch_normalization_16 (BatchN (None, 7, 7, 512) 2048 ['conv2d_16[0][0]']
ormalization)
conv2d_17 (Conv2D) (None, 7, 7, 512) 131584 ['re_lu_18[0][0]']
re_lu_20 (ReLU) (None, 7, 7, 512) 0 ['batch_normalization_16[0][0]']
batch_normalization_17 (BatchN (None, 7, 7, 512) 2048 ['conv2d_17[0][0]']
ormalization)
add_6 (Add) (None, 7, 7, 512) 0 ['re_lu_20[0][0]',
'batch_normalization_17[0][0]']
re_lu_21 (ReLU) (None, 7, 7, 512) 0 ['add_6[0][0]']
conv2d_18 (Conv2D) (None, 7, 7, 512) 2359808 ['re_lu_21[0][0]']
batch_normalization_18 (BatchN (None, 7, 7, 512) 2048 ['conv2d_18[0][0]']
ormalization)
re_lu_22 (ReLU) (None, 7, 7, 512) 0 ['batch_normalization_18[0][0]']
conv2d_19 (Conv2D) (None, 7, 7, 512) 2359808 ['re_lu_22[0][0]']
batch_normalization_19 (BatchN (None, 7, 7, 512) 2048 ['conv2d_19[0][0]']
ormalization)
re_lu_23 (ReLU) (None, 7, 7, 512) 0 ['batch_normalization_19[0][0]']
add_7 (Add) (None, 7, 7, 512) 0 ['re_lu_23[0][0]',
're_lu_21[0][0]']
re_lu_24 (ReLU) (None, 7, 7, 512) 0 ['add_7[0][0]']
global_average_pooling2d (Glob (None, 512) 0 ['re_lu_24[0][0]']
alAveragePooling2D)
dense (Dense) (None, 1000) 513000 ['global_average_pooling2d[0][0]'
]
softmax (Softmax) (None, 1000) 0 ['dense[0][0]']
==================================================================================================
Total params: 11,703,912
Trainable params: 11,694,312
Non-trainable params: 9,600
__________________________________________________________________________________________________