Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code.

The article presents a study of various approximation cases with a specific group of polynomials and feedforward artificial neural networks. A comparative analysis of the results obtained has been ...

We study deep neural networks and their use in semiparametric inference. We establish novel nonasymptotic high probability bounds for deep feedforward neural nets. These deliver rates of convergence ...