A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference ...

Implements the Perceptron Learning Algorithm (PLA) to classify linearly separable data. Includes randomized data generation, iterative weight updates, visualization of decision boundaries, and ...

The First Reinforcement Learning Tutorial Book with TensorFlow 2 Implementation Codes with both TensorFlow 2 and PyTorch 1 This is a tutorial book on reinforcement learning, with explanation of theory ...