ELEC 3520 - IoT & Cyberphysical Systems Neural Network Feed-Forward Evaluation Homework Fully Connected Neural (FCN) Networks The input values are 10,50,9.0). The input-to-hidden weights and biases are defined above. Perform two different evaluations of the network nodes using Sigmoid and ReLU at each node. The bias inputs to each node are shown. Fall Show work, but fill out the table: Hidden Layer OutputLayer Node Nodel Model Nede Nedel Node! Sigma Re ELEC 3520 - IoT & Cyberphysical Systems Neural Network Feed-Forward Evaluation Homework Fully Connected Neural (FCN) Networks The input values are 10,50,9.0). The input-to-hidden weights and biases are defined above. Perform two different evaluations of the network nodes using Sigmoid and ReLU at each node. The bias inputs to each node are shown. Fall Show work, but fill out the table: Hidden Layer OutputLayer Node Nodel Model Nede Nedel Node! Sigma Re