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Iden layer and binary activation for output layer. Determine the Mean Square Error (MSE) in the given network for both the input pattern. Update weights (W5 and Wb1) for the input/ output patterns (White color ball) given below for one ration. h, Ws W1 Onet f(O,net) h net f(h,net) We E1 W; 0, W3 h net f(h net) O net f(O,net) lp: W4 Ws E2 W2 Wal b1 b2 Table1. Input/output pattern lp 2 Datal Pattern Vp 1 2 Red color ball 1 3 White color ball eights 2 2 3. 2.

Iden layer and binary activation for output layer. Determine the Mean Square Error (MSE) in the given network for both the input pattern. Update weights (W5 and Wb1) for the input/ output patterns (White color ball) given below for one ration. h, Ws W1 Onet f(O,net) h net f(h,net) We E1 W; 0, W3 h net f(h net) O net f(O,net) lp: W4 Ws E2 W2 Wal b1 b2 Table1. Input/output pattern lp 2 Datal Pattern Vp 1 2 Red color ball 1 3 White color ball eights 2 2 3. 2.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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1. For the given network architecture shown in Figure.1, a) Apply feed forward algorithm for the corresponding pattern in Table 1 with binary activation function for the hidden layer and binary activation for output layer. b) Determine the Mean Square Error (MSE) in the given network for both the input pattern. c) Update weights (W5 and Wb1) for the input/ output patterns (White color ball) given below for one iteration. hi W, Ws h net f(h,net) Onet f(O,net) W. Ws E1 O2 W W, p: h net f(h,net) O,net f(O,net W. E2 b bz Table1. Input/output pattern Datal Pattern ilp 1 i/p 2 Red color ball 2 White color ball 3 3 1 Weights W1 2 W2 W3 W4 2 W5 2 W6 W7 2 W8 b1 b2 Wb1 1 Wb2 1 Note: Include the architecture in the solution. provide step by step procedure
Transcribed Image Text:1. For the given network architecture shown in Figure.1, a) Apply feed forward algorithm for the corresponding pattern in Table 1 with binary activation function for the hidden layer and binary activation for output layer. b) Determine the Mean Square Error (MSE) in the given network for both the input pattern. c) Update weights (W5 and Wb1) for the input/ output patterns (White color ball) given below for one iteration. hi W, Ws h net f(h,net) Onet f(O,net) W. Ws E1 O2 W W, p: h net f(h,net) O,net f(O,net W. E2 b bz Table1. Input/output pattern Datal Pattern ilp 1 i/p 2 Red color ball 2 White color ball 3 3 1 Weights W1 2 W2 W3 W4 2 W5 2 W6 W7 2 W8 b1 b2 Wb1 1 Wb2 1 Note: Include the architecture in the solution. provide step by step procedure
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