Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning ...

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Forbes contributors publish independent expert analyses and insights. William Arruda covers personal branding, leadership, and careers. It’s rare to have a job title that no one else shares. The King ...

Research in the area of numerical cognition seeks to understand the cognitive and neural mechanisms that underlie individuals’ ability to perceive, process, and memorise numerical information.

ABSTRACT: Accurately approximating higher order derivatives is an inherently difficult problem. It is shown that a random variable shape parameter strategy can improve the accuracy of approximating ...