Hi everyone,
In a semantic segmentation network, I use a type of data, normalized between 0 and 1, saved as pickle. After 23 epochs, at least one sample of this data becomes nan before entering to the network as input. By changing learning rate nothing changes, but by changing one of the convolutions’ bias into False, it gets nan after 38 epochs.
Does anybody have an idea about the reason or how to fix it?