In this notebook, we will construct simple perceptron models. We'll start by implementing a perceptron model, and seeing how it behaves. We'll then outline the steps to train a perceptron to classify ...

ML-dip.py takes as input cartesian coordinates (XYZ-traj1.xyz) and dipole moments (DIP-traj1.dat) from a trajectory, and outputs dipole moments corresponding to another trajectory (XYZ-traj2.xyz).

This chapter discusses the working of artificial neural network (ANN) with single layer perceptron and multilayer perceptron along with example dataset. Also traditional linear regression and logistic ...