Key features of linear graphs are: gradient or slope: Represents the steepness and direction of the line \(x\)- and \(y\)-axes intercepts: The points where the line crosses the \(x\)-axis and ...

Karimi, S. , & Vavasis, S. A. . (Accepted). Nonlinear conjugate gradient for smooth convex functions. Mathematical Programming - Computation. Retrieved from https ...

Abstract: Activation functions play an important role in Deep Neural Networks. The activation function ... gradient at for negative values, which results in slow convergence. Therefore, in this work, ...

The submission contains report.pdf, this readme file, gd.py and sgd.py which contain the main logic for batch gradient descent and stochastic gradient descent respectively, util.py which contains util ...

Specifically, three types of functions were fitted to the data ... The models were developed in the Mathematica notebook 'dpp_gradient_modeling.nb' (developed in Mathematica 10.0.0.0). The main ...

We investigate the reduction in both bias and variance errors attributed to the simplex gradient estimated from noisy function measurements, in favor of the finite-differences gradient, when both are ...