Linear Perceptron Learning

Stage 1:

  1. Create a linearly separable dataset by clicking on the plane to add points to classes 1 and 2.
  2. Click start to initialize the weight vector (you may re-initialize by clicking on it again).
  3. Click the step button to see the stepping through the algorithm.
  4. Note number of iterations for convergence.

Stage 2:

  1. Repeat the above procedure for the different datasets with varying amount of separation between them. Note down your observations.

Stage 3:

  1. Study the effect of varying the decay rate with different amounts of separability.