(a) Describe the following terms: (i) Supervised learning (ii) Unsupervised learning (iii) Reinforcement learning (b) Given the following values…

(a) Describe the following terms:

(i) Supervised learning

(ii) Unsupervised learning

(iii) Reinforcement learning

(b) Given the following values:

• True Positive (TP) = 560
• True Negative (TN) = 330
• False Positive (FP) = 60
• False Negative (FN) = 50

Calculate the following: (i) Accuracy (ii) Precision (iii) Recall (iv) F1 Score

(c) What is an activation function in a deep neural network? What is its use?