@Zafar
Thanks so much, Zafar - that really further expounded what @Bjorn_Lindqvist earlier posted in his reply…
I hope you won’t mind me asking these additional questions:
“To train the network you just run the training loop on the model…”
1) You mentioned “training loop” here - I assume that’s referring to the hidden layers, right?
2) Regarding the inputs, can a column of values stored in an array be made to stream continuously through those?
Like for example:
all values inside array [N] go through input x0
Or must the ALL the individual values in that array be summed up then pass through an input? Like below for example:
Sum of all values inside array [N] go through input x0
“I am assuming you don’t want to implement the matrix multiplication…”
3) If there’s a need to implement matrix multiplication, how would the respective Python and Pytorch source code implementations would look like?
By the way, I forgot this additional question:
4) I am running a 32-bit Windows 7 machine with 2GBs of memory. What Pytorch configuration and the appropriate machine learning libraries is best for my machine that will not tax my machine much but also run AI or machine learning programs, at least almost at par with better machines?
Thanks again for your earlier reply and please bear with me on my follow-up questions…