Crax - Rat

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

# Building the model base_model = VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3)) activation='relu')(x) predictions = Dense(1