I am reading a document with this expression:
evidencei=∑jWi, jxj+bi
Can someone explain what this means?
In context:
We also add some extra evidence called a bias. Basically, we want to be able to say that some things are more likely independent of the input. The result is that the evidence for a class i given an input x is:
evidencei=∑jWi, jxj+bi
where Wi is the weights and bi is the bias for class i, and j is an index for summing over the pixels in our input image x. We then convert the evidence tallies into our predicted probabilities y using the "softmax" function:
https://imgur.com/a/3PYw4rK
– Saad Abbasi Oct 20 '22 at 16:10