Hey Everyone, glad to be a part of the community.
The content on this website is fantastic. I’ve tried learning more about machine learning and AI on other platforms/resources and none of them have explained it quite as well. Thanks!
Anyway, I did have a question about one of the articles I read, this one in particular:
A great breakdown of how ANNs work. However I am lost on one step. In the visual section on step 10, I can’t quite figure out how the formulas should be. Can anybody post an image of exactly how the formulas should be broken down, or perhaps break this step into more steps so it is more clear?
This is the formula I cannot quite figure out :
wh = wh + matrix_dot_product(X.Transpose,d_hiddenlayer)*learning_rate
What it’s telling me is that X should be transposed in the Matrix Multiplication. Which is necessary because you only multiply rows by columns, and vice versa. However, which part of X and which part of d_hiddenlayer gets multiplied by each other?
If someone could break this step into more steps that would be helpful.