You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
All matrices that are passed to other functions are copies of all the data of the layer/network. If you are working with relatively big networks, that may result inefficient from the memory management point of view.
Matrices with pointers/references should be implemented.
The text was updated successfully, but these errors were encountered:
Now matrices are loaded in input module and stored there, therefore there is only a copy of the matrix in the whole program. Neural network works with pointers to weights instead of storing the weights by itself.
All matrices that are passed to other functions are copies of all the data of the layer/network. If you are working with relatively big networks, that may result inefficient from the memory management point of view.
Matrices with pointers/references should be implemented.
The text was updated successfully, but these errors were encountered: