Virtual Labs

a: Supervised learning algorithm b: Unsupervised learning algorithm c: Reinforcement learning algorithm d: None of the above

a: Synapses b: Neurons c: Weights d: Activation functions

a: Sigmoid function b: Rectified Linear Unit (ReLU) c: Hyperbolic tangent (tanh) function d: Step function

a: Classification problems b: Regression problems c: Clustering problems d: All of the above

a: It uses a linear activation function b: It lacks hidden layers for complex feature representations c: It cannot handle non-linear relationships d: Both b) and c)

To Study and Implement Single Layer Perceptron for Binary Classification