model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
x = base_model.output x = GlobalAveragePooling2D()(x) x = Dense(1024, activation='relu')(x) predictions = Dense(1, activation='sigmoid')(x) crax rat
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy']) activation='relu')(x) predictions = Dense(1