Subject - Computer Science (DEEP LEARNING)

Please answer by 12:00pm IST Sunday (Jan 24) last date for assignment. Urgent Please.. I will 100% upvote

Build a 2 hidden layer MLP network with step activation (output= +1 if total input>= bias T, else-1) that realizes the following decision boundary. (1,4) (3.4) (2,3) x2 (1.2) (3.2). x1 A. What are the minimum number of hidden nodes required at layer 1 and layer 2? Draw the network architecture. B. Specify all the weights and biases. Weights can be-1, 1 or 0 only and all bias values >=0. Organize the node in the hidden layers from left to right with ascending bias values only. Input node corresponding to x1 should be on the left. Build a 2 hidden layer MLP network with step activation (output= +1 if total input>= bias T, else-1) that realizes the following decision boundary. (1,4) (3.4) (2,3) x2 (1.2) (3.2). x1 A. What are the minimum number of hidden nodes required at layer 1 and layer 2? Draw the network architecture. B. Specify all the weights and biases. Weights can be-1, 1 or 0 only and all bias values >=0. Organize the node in the hidden layers from left to right with ascending bias values only. Input node corresponding to x1 should be on the left