ECE 370 Advanced Computer Methods in ECE (c) Create a training set of random points in [-1, 1] x-1, 1]. Assign class 1 to points inside a circle centered at the origin and class 0 to points outside the circle (make the circle and rectangle have equal area). Train the eal netwok and plot E vs. epoch. Assignment #2 September 26, 2018 Instructor Paul Watta (d) Use test data uniformly sampled on [-1, 1] x [1, 1] to visually show the performance of the network. Determine the values ofJandm to yield good results on the test set. Consider the two-layer neural network shown below. Training Set M: 50 J: 30 Test Set step:0.025 23 Ti a)Progm the forward pass computation y Fo(WF,(Vt)). Assume sigmoidal activation Training Set M: 500 J: 30 Test set step: 0.025 (b) Implement the backprop leaming algorithm to adjust the weights: ECE 370 Advanced Computer Methods in ECE (c) Create a training set of random points in [-1, 1] x-1, 1]. Assign class 1 to points inside a circle centered at the origin and class 0 to points outside the circle (make the circle and rectangle have equal area). Train the eal netwok and plot E vs. epoch. Assignment #2 September 26, 2018 Instructor Paul Watta (d) Use test data uniformly sampled on [-1, 1] x [1, 1] to visually show the performance of the network. Determine the values ofJandm to yield good results on the test set. Consider the two-layer neural network shown below. Training Set M: 50 J: 30 Test Set step:0.025 23 Ti a)Progm the forward pass computation y Fo(WF,(Vt)). Assume sigmoidal activation Training Set M: 500 J: 30 Test set step: 0.025 (b) Implement the backprop leaming algorithm to adjust the weights