Why is the process of visualizing the decision boundary for the XOR problem in TFQ computationally intensive, and what strategies can be employed to manage this computational load?
Tuesday, 11 June 2024
by EITCA Academy
The XOR (exclusive OR) problem is a classical problem in machine learning that is often used to test the capabilities of classification algorithms. The XOR function outputs true only when the inputs differ. This problem is particularly significant because it is not linearly separable, meaning that a single linear decision boundary cannot separate the classes