Draw a fully connected neural network with 1 hidden layer where the number of units input, hidden layer, and output layer are 3, 2, 1, respectively. . (5+5+5+5) a. Show all the weight matrices a...
4.7. Consider a two-layer feedforward ANN with two inputs a and b, one hidden unit c, and one output unit d. This network has five weights (wca, Wcb, Wco, Wse, Wao). where wro represents the threshold weight for unit x. Initialize these weights to the values (.1,.1,.1,.1,.1), then give their values after each of the first two training iterations of the BACKPROPAGATION algorithm. Assume learning rte '-.3, momentum α-: 0.9, incremental weight updates, and the following training examples: 0 1...
1. Hopfield Neural Network with 4 Neurons are used to memorize four states (1,-1, 1,-1) and (1, 1,, 1). If we consider that the output of each neuron is fed back into the inputs of all other neurons except itself in the first system and fed back into the inputs of all other neurons with itself at the second system. (0) Sketch up the diagram for each system 3 Marks 4 Marksl (b) calculate the weight matrix for both system...
BJT and Amplifier Circuits +15 V 27 k R2 680 Ω Compute: 53 1. Show the extra units and connections RE 680 2 R2 12 kC2 2. The input and the output impedance 3. The Voltage gain Av 4. If the input ac voltage with Vp-1 mV, draw the output voltage. What is the maximum vin value. 5. 6. The current gain Ai and Ap. 7. Compute the produced power and the consumed power in transistor and RL. BJT and...
2. Table 1 shows the daily quantities of work units moving between five (5) work stations. Draw a network diagram for the information shown and state which operations are: i. Repeated operation, ii. In-sequence moves, ii. By-pass moves and iv. Backflow moves. [10mks Table J Daily Quantitses of work nits moved between five (3) Work Stations To operation j 10 30 17 10 30 From operation 3 10 20 25 50 15 2. Table 1 shows the daily quantities of...