University:
American Baptist College
Course:
CIT330 | Project Management
Academic year:

2023
Views:

413

Pages:

6
Author:

MMarhamah

Perceptron Calculation Example Architecture Simple Perceptron WX+b=0 b + i xi wI = 0 Algorithm 1. Step 0: Initialize weights(w) and bias(b) = 0. Set learning rate  (0    1) 2. Step 1: execute steps 2-6 while condition is false. 3. Step 2: for each pair of input and target output vectors, s: t, perform steps 3 - 5. 4. Step 3: Input activation set 5. Step 4: Calculate the output 6. Step 5: update the weight and bias values 7. Step 6: Condition test Output Respond: y_in = b + i x i w i y = 1 if y_in >  y = 0 if -   y_in   y = -1 if y_in <  Update The Weight and Bias Values  If y ≠ t then: wi (new) = wi (old) +  txi b(new) = b(old) + t  If y = t then: wi (new) = wi (old) b(new) = b(old) Iteration For simplification, w=0, b=0, =1, q=0 Epoch 1 Line 1 Epoch 1 Line 2 Epoch 1 Line 3 Epoch 1 Line 4 Epoch 1 Epoch 2 Epoch 3 Epoch 4 Epoch 5 Epoch 6 Epoch 7 Epoch 8 Epoch 9 Epoch 10