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testing metrics

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Silver-T 2018-05-23 23:20:40 +10:00
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commit e682353314
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mini_proj/waldo_model.py
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@ -50,7 +50,7 @@ def FCN():
## Define the model structure ## Define the model structure
model = Model(inputs=inputs, outputs=classif) model = Model(inputs=inputs, outputs=classif)
# Optimizer recommended Adadelta values (lr=0.01) # Optimizer recommended Adadelta values (lr=0.01)
model.compile(optimizer=Adam(), loss='binary_crossentropy', metrics=['accuracy']) model.compile(optimizer=Adam(), loss='binary_crossentropy', metrics=[f_measure])
return model return model