Publication

Implementation d'un algorithme de reduction de taille des reseaux de neurones

François Thierry M Marelli
2018
Report or working paper
Abstract

This document describes the implementation of a neuron pruning method with pyTorch, and analyzes the results obtained by applying this method on convolutional and residual networks. The performance of the algorithm is measured in different test cases and with varying parameters.

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Related concepts (26)
Euler method
In mathematics and computational science, the Euler method (also called the forward Euler method) is a first-order numerical procedure for solving ordinary differential equations (ODEs) with a given initial value. It is the most basic explicit method for numerical integration of ordinary differential equations and is the simplest Runge–Kutta method. The Euler method is named after Leonhard Euler, who first proposed it in his book Institutionum calculi integralis (published 1768–1870).
Iterative method
In computational mathematics, an iterative method is a mathematical procedure that uses an initial value to generate a sequence of improving approximate solutions for a class of problems, in which the n-th approximation is derived from the previous ones. A specific implementation with termination criteria for a given iterative method like gradient descent, hill climbing, Newton's method, or quasi-Newton methods like BFGS, is an algorithm of the iterative method.
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