Open rosinusserrano opened 3 days ago
Since our model outputs images in range [0, 1] it makes a lot of sense to use sigmoid activation in the last layer which maps the values into that exact range. Furthermore we could think of mapping our images into a [-1, 1] range and then using tanh activation which is thought to be better than sigmoid: https://datascience.stackexchange.com/questions/54296/should-input-images-be-normalized-to-1-to-1-or-0-to-1
Since our model outputs images in range [0, 1] it makes a lot of sense to use sigmoid activation in the last layer which maps the values into that exact range. Furthermore we could think of mapping our images into a [-1, 1] range and then using tanh activation which is thought to be better than sigmoid: https://datascience.stackexchange.com/questions/54296/should-input-images-be-normalized-to-1-to-1-or-0-to-1