The design of the Recurrent Neural Network (1985) is premised upon two observations about how a great model, similar to a human reading text, would process sequential information:It should track the data ‘learned’ up...
. So if we now have two transformations represented by the matrices A1 and A2 we will apply them consecutively A2(A1(vector)).But that is different from applying them inversely i.e. A1(A2(vector)). That's the reasonIn this...
We also can apply multiple consecutive transformations to a vector. So if we've two transformations represented by the matrices A1 and A2 we will apply them consecutively A2(A1(vector)).But that is different from applying them...