Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back Propagation in Neural Networks. In this video, we are using using binary ...

Simple Artificial Neural Networks (SANN) is a naive Python implementation of an artificial neural network (ANN) that's useful for educational purposes and clarifying the concepts of feed-forward ...

Abstract: Under the background of food security, the research of crop growth models has attracted much attention. There is an urgent need for simplified crop yield forecasting methods based on ...

self.weight = np.asmatrix(rng.normal(0, 0.5, (self.units, back_units))) self.bias = np.asmatrix(rng.normal(0, 0.5, self.units)).T ...