This challenge is to return the WH_delta and WP_delta, given X, WH, WP, EPY using ReLU on the hidden layer and Softmax on the output layer. Test Cases will accumulate dWP and dWH to solve neural nets for Counter, Subtractor,Mux. Test Cases will have four output cases. ReLU performs well on multiple output cases.
[dWP,dWH]=Neural_Back_Propagation_ReLU(X,WH,WP,EPY)
The matlab Latex code for making the Back Propagation chart included in template.
Solution Stats
Solution Comments
Show comments
Loading...
Problem Recent Solvers9
Suggested Problems
-
Check to see if a Sudoku Puzzle is Solved
338 Solvers
-
Convert Hard Drive marketing sizes to actual data sizes
69 Solvers
-
Convert a numerical matrix into a cell array of strings
2394 Solvers
-
"Low : High - Low : High - Turn around " -- Create a subindices vector
583 Solvers
-
Assign numerical values to a structure with 1 field
34 Solvers
More from this Author309
Problem Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
