#coding guild
1 messages · Page 1 of 1 (latest)
X = np.array([[1,2,3],
[3,4,5],
[5,6,7]])
W = np.array([[2,3,4],
[4,5,6],
[6,7,8]])
B = np.array([[10,9,8],
[8,7,6],
[6,5,4]])
Output =(X,W) + B
print(output)
#basic neural networks code X = inputs ,W = weights ,B = bias it can change but etc you can use from PIL import image which then you can make a into a python array and add that to equal x so you can train it on multiple images you would need a strong terminal though my apologies
sound complicated, I don't know much about coding at all
It's basic adding and multiplication but it has to take its time each value has to be times to buy their weight plus a bias which would be considered a colonel and if you ever want to get into coding here you can pull up a seat bring her mother or cocoa and sit down and relax and a little bit of witty programming humor sorry
cool, hope to see the finished one, but take the time you need
I have to get this done so I have to work on it again I managed to make it into arrays My apologies
slow and steady is the name of the game
And does anyone know how to use TK? My apologies
after a few hours i finaly go it to work!!!!!!!!
My apologies
(w•x)+b(p/l)