Due to resource limitation in AWS free tier EC2 instanse, I couldn't process this large ResNet50 model files. Sorry about that.
Tharanga's Portfolio
Model: "model_3"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_6 (InputLayer) [(None, 64, 64, 3)] 0 []
zero_padding2d_5 (ZeroPadd (None, 70, 70, 3) 0 ['input_6[0][0]']
ing2D)
conv2d_189 (Conv2D) (None, 32, 32, 64) 9472 ['zero_padding2d_5[0][0]']
batch_normalization_189 (B (None, 32, 32, 64) 256 ['conv2d_189[0][0]']
atchNormalization)
activation_171 (Activation (None, 32, 32, 64) 0 ['batch_normalization_189[0][0
) ]']
max_pooling2d_5 (MaxPoolin (None, 15, 15, 64) 0 ['activation_171[0][0]']
g2D)
conv2d_190 (Conv2D) (None, 15, 15, 64) 4160 ['max_pooling2d_5[0][0]']
batch_normalization_190 (B (None, 15, 15, 64) 256 ['conv2d_190[0][0]']
atchNormalization)
activation_172 (Activation (None, 15, 15, 64) 0 ['batch_normalization_190[0][0
) ]']
conv2d_191 (Conv2D) (None, 15, 15, 64) 36928 ['activation_172[0][0]']
batch_normalization_191 (B (None, 15, 15, 64) 256 ['conv2d_191[0][0]']
atchNormalization)
activation_173 (Activation (None, 15, 15, 64) 0 ['batch_normalization_191[0][0
) ]']
conv2d_192 (Conv2D) (None, 15, 15, 256) 16640 ['activation_173[0][0]']
conv2d_193 (Conv2D) (None, 15, 15, 256) 16640 ['max_pooling2d_5[0][0]']
batch_normalization_192 (B (None, 15, 15, 256) 1024 ['conv2d_192[0][0]']
atchNormalization)
batch_normalization_193 (B (None, 15, 15, 256) 1024 ['conv2d_193[0][0]']
atchNormalization)
add_56 (Add) (None, 15, 15, 256) 0 ['batch_normalization_192[0][0
]',
'batch_normalization_193[0][0
]']
activation_174 (Activation (None, 15, 15, 256) 0 ['add_56[0][0]']
)
conv2d_194 (Conv2D) (None, 15, 15, 64) 16448 ['activation_174[0][0]']
batch_normalization_194 (B (None, 15, 15, 64) 256 ['conv2d_194[0][0]']
atchNormalization)
activation_175 (Activation (None, 15, 15, 64) 0 ['batch_normalization_194[0][0
) ]']
conv2d_195 (Conv2D) (None, 15, 15, 64) 36928 ['activation_175[0][0]']
batch_normalization_195 (B (None, 15, 15, 64) 256 ['conv2d_195[0][0]']
atchNormalization)
activation_176 (Activation (None, 15, 15, 64) 0 ['batch_normalization_195[0][0
) ]']
conv2d_196 (Conv2D) (None, 15, 15, 256) 16640 ['activation_176[0][0]']
batch_normalization_196 (B (None, 15, 15, 256) 1024 ['conv2d_196[0][0]']
atchNormalization)
add_57 (Add) (None, 15, 15, 256) 0 ['batch_normalization_196[0][0
]',
'activation_174[0][0]']
activation_177 (Activation (None, 15, 15, 256) 0 ['add_57[0][0]']
)
conv2d_197 (Conv2D) (None, 15, 15, 64) 16448 ['activation_177[0][0]']
batch_normalization_197 (B (None, 15, 15, 64) 256 ['conv2d_197[0][0]']
atchNormalization)
activation_178 (Activation (None, 15, 15, 64) 0 ['batch_normalization_197[0][0
) ]']
conv2d_198 (Conv2D) (None, 15, 15, 64) 36928 ['activation_178[0][0]']
batch_normalization_198 (B (None, 15, 15, 64) 256 ['conv2d_198[0][0]']
atchNormalization)
activation_179 (Activation (None, 15, 15, 64) 0 ['batch_normalization_198[0][0
) ]']
conv2d_199 (Conv2D) (None, 15, 15, 256) 16640 ['activation_179[0][0]']
batch_normalization_199 (B (None, 15, 15, 256) 1024 ['conv2d_199[0][0]']
atchNormalization)
add_58 (Add) (None, 15, 15, 256) 0 ['batch_normalization_199[0][0
]',
'activation_177[0][0]']
activation_180 (Activation (None, 15, 15, 256) 0 ['add_58[0][0]']
)
conv2d_200 (Conv2D) (None, 8, 8, 128) 32896 ['activation_180[0][0]']
batch_normalization_200 (B (None, 8, 8, 128) 512 ['conv2d_200[0][0]']
atchNormalization)
activation_181 (Activation (None, 8, 8, 128) 0 ['batch_normalization_200[0][0
) ]']
conv2d_201 (Conv2D) (None, 8, 8, 128) 147584 ['activation_181[0][0]']
batch_normalization_201 (B (None, 8, 8, 128) 512 ['conv2d_201[0][0]']
atchNormalization)
activation_182 (Activation (None, 8, 8, 128) 0 ['batch_normalization_201[0][0
) ]']
conv2d_202 (Conv2D) (None, 8, 8, 512) 66048 ['activation_182[0][0]']
conv2d_203 (Conv2D) (None, 8, 8, 512) 131584 ['activation_180[0][0]']
batch_normalization_202 (B (None, 8, 8, 512) 2048 ['conv2d_202[0][0]']
atchNormalization)
batch_normalization_203 (B (None, 8, 8, 512) 2048 ['conv2d_203[0][0]']
atchNormalization)
add_59 (Add) (None, 8, 8, 512) 0 ['batch_normalization_202[0][0
]',
'batch_normalization_203[0][0
]']
activation_183 (Activation (None, 8, 8, 512) 0 ['add_59[0][0]']
)
conv2d_204 (Conv2D) (None, 8, 8, 128) 65664 ['activation_183[0][0]']
batch_normalization_204 (B (None, 8, 8, 128) 512 ['conv2d_204[0][0]']
atchNormalization)
activation_184 (Activation (None, 8, 8, 128) 0 ['batch_normalization_204[0][0
) ]']
conv2d_205 (Conv2D) (None, 8, 8, 128) 147584 ['activation_184[0][0]']
batch_normalization_205 (B (None, 8, 8, 128) 512 ['conv2d_205[0][0]']
atchNormalization)
activation_185 (Activation (None, 8, 8, 128) 0 ['batch_normalization_205[0][0
) ]']
conv2d_206 (Conv2D) (None, 8, 8, 512) 66048 ['activation_185[0][0]']
batch_normalization_206 (B (None, 8, 8, 512) 2048 ['conv2d_206[0][0]']
atchNormalization)
add_60 (Add) (None, 8, 8, 512) 0 ['batch_normalization_206[0][0
]',
'activation_183[0][0]']
activation_186 (Activation (None, 8, 8, 512) 0 ['add_60[0][0]']
)
conv2d_207 (Conv2D) (None, 8, 8, 128) 65664 ['activation_186[0][0]']
batch_normalization_207 (B (None, 8, 8, 128) 512 ['conv2d_207[0][0]']
atchNormalization)
activation_187 (Activation (None, 8, 8, 128) 0 ['batch_normalization_207[0][0
) ]']
conv2d_208 (Conv2D) (None, 8, 8, 128) 147584 ['activation_187[0][0]']
batch_normalization_208 (B (None, 8, 8, 128) 512 ['conv2d_208[0][0]']
atchNormalization)
activation_188 (Activation (None, 8, 8, 128) 0 ['batch_normalization_208[0][0
) ]']
conv2d_209 (Conv2D) (None, 8, 8, 512) 66048 ['activation_188[0][0]']
batch_normalization_209 (B (None, 8, 8, 512) 2048 ['conv2d_209[0][0]']
atchNormalization)
add_61 (Add) (None, 8, 8, 512) 0 ['batch_normalization_209[0][0
]',
'activation_186[0][0]']
activation_189 (Activation (None, 8, 8, 512) 0 ['add_61[0][0]']
)
conv2d_210 (Conv2D) (None, 8, 8, 128) 65664 ['activation_189[0][0]']
batch_normalization_210 (B (None, 8, 8, 128) 512 ['conv2d_210[0][0]']
atchNormalization)
activation_190 (Activation (None, 8, 8, 128) 0 ['batch_normalization_210[0][0
) ]']
conv2d_211 (Conv2D) (None, 8, 8, 128) 147584 ['activation_190[0][0]']
batch_normalization_211 (B (None, 8, 8, 128) 512 ['conv2d_211[0][0]']
atchNormalization)
activation_191 (Activation (None, 8, 8, 128) 0 ['batch_normalization_211[0][0
) ]']
conv2d_212 (Conv2D) (None, 8, 8, 512) 66048 ['activation_191[0][0]']
batch_normalization_212 (B (None, 8, 8, 512) 2048 ['conv2d_212[0][0]']
atchNormalization)
add_62 (Add) (None, 8, 8, 512) 0 ['batch_normalization_212[0][0
]',
'activation_189[0][0]']
activation_192 (Activation (None, 8, 8, 512) 0 ['add_62[0][0]']
)
conv2d_213 (Conv2D) (None, 4, 4, 512) 262656 ['activation_192[0][0]']
batch_normalization_213 (B (None, 4, 4, 512) 2048 ['conv2d_213[0][0]']
atchNormalization)
activation_193 (Activation (None, 4, 4, 512) 0 ['batch_normalization_213[0][0
) ]']
conv2d_214 (Conv2D) (None, 4, 4, 512) 2359808 ['activation_193[0][0]']
batch_normalization_214 (B (None, 4, 4, 512) 2048 ['conv2d_214[0][0]']
atchNormalization)
activation_194 (Activation (None, 4, 4, 512) 0 ['batch_normalization_214[0][0
) ]']
conv2d_215 (Conv2D) (None, 4, 4, 1024) 525312 ['activation_194[0][0]']
conv2d_216 (Conv2D) (None, 4, 4, 1024) 525312 ['activation_192[0][0]']
batch_normalization_215 (B (None, 4, 4, 1024) 4096 ['conv2d_215[0][0]']
atchNormalization)
batch_normalization_216 (B (None, 4, 4, 1024) 4096 ['conv2d_216[0][0]']
atchNormalization)
add_63 (Add) (None, 4, 4, 1024) 0 ['batch_normalization_215[0][0
]',
'batch_normalization_216[0][0
]']
activation_195 (Activation (None, 4, 4, 1024) 0 ['add_63[0][0]']
)
conv2d_217 (Conv2D) (None, 4, 4, 256) 262400 ['activation_195[0][0]']
batch_normalization_217 (B (None, 4, 4, 256) 1024 ['conv2d_217[0][0]']
atchNormalization)
activation_196 (Activation (None, 4, 4, 256) 0 ['batch_normalization_217[0][0
) ]']
conv2d_218 (Conv2D) (None, 4, 4, 256) 590080 ['activation_196[0][0]']
batch_normalization_218 (B (None, 4, 4, 256) 1024 ['conv2d_218[0][0]']
atchNormalization)
activation_197 (Activation (None, 4, 4, 256) 0 ['batch_normalization_218[0][0
) ]']
conv2d_219 (Conv2D) (None, 4, 4, 1024) 263168 ['activation_197[0][0]']
batch_normalization_219 (B (None, 4, 4, 1024) 4096 ['conv2d_219[0][0]']
atchNormalization)
add_64 (Add) (None, 4, 4, 1024) 0 ['batch_normalization_219[0][0
]',
'activation_195[0][0]']
activation_198 (Activation (None, 4, 4, 1024) 0 ['add_64[0][0]']
)
conv2d_220 (Conv2D) (None, 4, 4, 256) 262400 ['activation_198[0][0]']
batch_normalization_220 (B (None, 4, 4, 256) 1024 ['conv2d_220[0][0]']
atchNormalization)
activation_199 (Activation (None, 4, 4, 256) 0 ['batch_normalization_220[0][0
) ]']
conv2d_221 (Conv2D) (None, 4, 4, 256) 590080 ['activation_199[0][0]']
batch_normalization_221 (B (None, 4, 4, 256) 1024 ['conv2d_221[0][0]']
atchNormalization)
activation_200 (Activation (None, 4, 4, 256) 0 ['batch_normalization_221[0][0
) ]']
conv2d_222 (Conv2D) (None, 4, 4, 1024) 263168 ['activation_200[0][0]']
batch_normalization_222 (B (None, 4, 4, 1024) 4096 ['conv2d_222[0][0]']
atchNormalization)
add_65 (Add) (None, 4, 4, 1024) 0 ['batch_normalization_222[0][0
]',
'activation_198[0][0]']
activation_201 (Activation (None, 4, 4, 1024) 0 ['add_65[0][0]']
)
conv2d_223 (Conv2D) (None, 4, 4, 256) 262400 ['activation_201[0][0]']
batch_normalization_223 (B (None, 4, 4, 256) 1024 ['conv2d_223[0][0]']
atchNormalization)
activation_202 (Activation (None, 4, 4, 256) 0 ['batch_normalization_223[0][0
) ]']
conv2d_224 (Conv2D) (None, 4, 4, 256) 590080 ['activation_202[0][0]']
batch_normalization_224 (B (None, 4, 4, 256) 1024 ['conv2d_224[0][0]']
atchNormalization)
activation_203 (Activation (None, 4, 4, 256) 0 ['batch_normalization_224[0][0
) ]']
conv2d_225 (Conv2D) (None, 4, 4, 1024) 263168 ['activation_203[0][0]']
batch_normalization_225 (B (None, 4, 4, 1024) 4096 ['conv2d_225[0][0]']
atchNormalization)
add_66 (Add) (None, 4, 4, 1024) 0 ['batch_normalization_225[0][0
]',
'activation_201[0][0]']
activation_204 (Activation (None, 4, 4, 1024) 0 ['add_66[0][0]']
)
conv2d_226 (Conv2D) (None, 4, 4, 256) 262400 ['activation_204[0][0]']
batch_normalization_226 (B (None, 4, 4, 256) 1024 ['conv2d_226[0][0]']
atchNormalization)
activation_205 (Activation (None, 4, 4, 256) 0 ['batch_normalization_226[0][0
) ]']
conv2d_227 (Conv2D) (None, 4, 4, 256) 590080 ['activation_205[0][0]']
batch_normalization_227 (B (None, 4, 4, 256) 1024 ['conv2d_227[0][0]']
atchNormalization)
activation_206 (Activation (None, 4, 4, 256) 0 ['batch_normalization_227[0][0
) ]']
conv2d_228 (Conv2D) (None, 4, 4, 1024) 263168 ['activation_206[0][0]']
batch_normalization_228 (B (None, 4, 4, 1024) 4096 ['conv2d_228[0][0]']
atchNormalization)
add_67 (Add) (None, 4, 4, 1024) 0 ['batch_normalization_228[0][0
]',
'activation_204[0][0]']
activation_207 (Activation (None, 4, 4, 1024) 0 ['add_67[0][0]']
)
conv2d_229 (Conv2D) (None, 4, 4, 256) 262400 ['activation_207[0][0]']
batch_normalization_229 (B (None, 4, 4, 256) 1024 ['conv2d_229[0][0]']
atchNormalization)
activation_208 (Activation (None, 4, 4, 256) 0 ['batch_normalization_229[0][0
) ]']
conv2d_230 (Conv2D) (None, 4, 4, 256) 590080 ['activation_208[0][0]']
batch_normalization_230 (B (None, 4, 4, 256) 1024 ['conv2d_230[0][0]']
atchNormalization)
activation_209 (Activation (None, 4, 4, 256) 0 ['batch_normalization_230[0][0
) ]']
conv2d_231 (Conv2D) (None, 4, 4, 1024) 263168 ['activation_209[0][0]']
batch_normalization_231 (B (None, 4, 4, 1024) 4096 ['conv2d_231[0][0]']
atchNormalization)
add_68 (Add) (None, 4, 4, 1024) 0 ['batch_normalization_231[0][0
]',
'activation_207[0][0]']
activation_210 (Activation (None, 4, 4, 1024) 0 ['add_68[0][0]']
)
conv2d_232 (Conv2D) (None, 2, 2, 512) 524800 ['activation_210[0][0]']
batch_normalization_232 (B (None, 2, 2, 512) 2048 ['conv2d_232[0][0]']
atchNormalization)
activation_211 (Activation (None, 2, 2, 512) 0 ['batch_normalization_232[0][0
) ]']
conv2d_233 (Conv2D) (None, 2, 2, 512) 2359808 ['activation_211[0][0]']
batch_normalization_233 (B (None, 2, 2, 512) 2048 ['conv2d_233[0][0]']
atchNormalization)
activation_212 (Activation (None, 2, 2, 512) 0 ['batch_normalization_233[0][0
) ]']
conv2d_234 (Conv2D) (None, 2, 2, 2048) 1050624 ['activation_212[0][0]']
conv2d_235 (Conv2D) (None, 2, 2, 2048) 2099200 ['activation_210[0][0]']
batch_normalization_234 (B (None, 2, 2, 2048) 8192 ['conv2d_234[0][0]']
atchNormalization)
batch_normalization_235 (B (None, 2, 2, 2048) 8192 ['conv2d_235[0][0]']
atchNormalization)
add_69 (Add) (None, 2, 2, 2048) 0 ['batch_normalization_234[0][0
]',
'batch_normalization_235[0][0
]']
activation_213 (Activation (None, 2, 2, 2048) 0 ['add_69[0][0]']
)
conv2d_236 (Conv2D) (None, 2, 2, 512) 1049088 ['activation_213[0][0]']
batch_normalization_236 (B (None, 2, 2, 512) 2048 ['conv2d_236[0][0]']
atchNormalization)
activation_214 (Activation (None, 2, 2, 512) 0 ['batch_normalization_236[0][0
) ]']
conv2d_237 (Conv2D) (None, 2, 2, 512) 2359808 ['activation_214[0][0]']
batch_normalization_237 (B (None, 2, 2, 512) 2048 ['conv2d_237[0][0]']
atchNormalization)
activation_215 (Activation (None, 2, 2, 512) 0 ['batch_normalization_237[0][0
) ]']
conv2d_238 (Conv2D) (None, 2, 2, 2048) 1050624 ['activation_215[0][0]']
batch_normalization_238 (B (None, 2, 2, 2048) 8192 ['conv2d_238[0][0]']
atchNormalization)
add_70 (Add) (None, 2, 2, 2048) 0 ['batch_normalization_238[0][0
]',
'activation_213[0][0]']
activation_216 (Activation (None, 2, 2, 2048) 0 ['add_70[0][0]']
)
conv2d_239 (Conv2D) (None, 2, 2, 512) 1049088 ['activation_216[0][0]']
batch_normalization_239 (B (None, 2, 2, 512) 2048 ['conv2d_239[0][0]']
atchNormalization)
activation_217 (Activation (None, 2, 2, 512) 0 ['batch_normalization_239[0][0
) ]']
conv2d_240 (Conv2D) (None, 2, 2, 512) 2359808 ['activation_217[0][0]']
batch_normalization_240 (B (None, 2, 2, 512) 2048 ['conv2d_240[0][0]']
atchNormalization)
activation_218 (Activation (None, 2, 2, 512) 0 ['batch_normalization_240[0][0
) ]']
conv2d_241 (Conv2D) (None, 2, 2, 2048) 1050624 ['activation_218[0][0]']
batch_normalization_241 (B (None, 2, 2, 2048) 8192 ['conv2d_241[0][0]']
atchNormalization)
add_71 (Add) (None, 2, 2, 2048) 0 ['batch_normalization_241[0][0
]',
'activation_216[0][0]']
activation_219 (Activation (None, 2, 2, 2048) 0 ['add_71[0][0]']
)
average_pooling2d_3 (Avera (None, 1, 1, 2048) 0 ['activation_219[0][0]']
gePooling2D)
flatten_3 (Flatten) (None, 2048) 0 ['average_pooling2d_3[0][0]']
dense_3 (Dense) (None, 6) 12294 ['flatten_3[0][0]']
==================================================================================================
Total params: 25765254 (98.29 MB)
Trainable params: 25711110 (98.08 MB)
Non-trainable params: 54144 (211.50 KB)
__________________________________________________________________________________________________