Is there any possibilities to directly get your predictions in float value instead of exponential value?

I am using 'sigmoid' activation function for multilabel classification and 'binary_crossentropy'

enter code here

img2 = img1/255
img3 = np.expand_dims(img2, axis=0)
ys_ = model.predict(img3)[0]
print('prediction',ys_)