Question Set 4 – 4.4 The list below presents the procedural…
Question Set 4 – 4.4 The list below presents the procedural steps of FNN. Which of the answer options presents their correct order? STEP A: Input the first observation of your dataset in the input layer, each feature in one input node. STEP B:Compare the predicted result to the actual result. Measure the generated error. STEP C: Forward-propagation: from left to right, the neurons are activated in a way that the impact of each neuron’s activation is limited by the weights. Propagate the activations until getting the predicted result y. STEP D: Randomly initialize the network, set weights to small numbers close to 0 (but not 0). STEP E: Repeat previous steps and update the weights after each observation. Or, repeat previous steps but update the weights only after a batch of observations (Batch Learning). STEP F:Back-Propagation: From right to left, the error is back-propagated. Update the weights according to how much they are responsible for the error. The learning rate decides by how much we update the weights.