代码搜索：Neuron
找到约 763 项符合「Neuron」的源代码
代码结果 763
www.eeworm.com/read/418695/10935716
m randnr.m
function w = randnr(s,r)
%RANDNR Normalized row random generator.
%
% RANDNR(S,R)
% S - Size of neuron layer (# of rows).
% R - Number of inputs (# of columns).
% Returns an SxR weight matrix.
%
www.eeworm.com/read/270548/11033286
m leaky1_esn.m
function internalState = leaky1_esn(totalstate , esn , varargin )
% Update internal state using the leaky integrator neuron model with equation
% \mathbf{x}_{n+1} = (1 - \gamma) \mathbf{x}_{n} +
%
www.eeworm.com/read/397102/8068646
m randnr.m
function w = randnr(s,r)
%RANDNR Normalized row random generator.
%
% RANDNR(S,R)
% S - Size of neuron layer (# of rows).
% R - Number of inputs (# of columns).
% Returns an SxR weight matrix.
%
www.eeworm.com/read/259886/11759577
m demop4.m
%% Outlier Input Vectors
% A 2-input hard limit neuron is trained to classify 5 input vectors into two
% categories. However, because 1 input vector is much larger than all of the
% others, traini
www.eeworm.com/read/342008/12047648
m randnr.m
function w = randnr(s,r)
%RANDNR Normalized row random generator.
%
% RANDNR(S,R)
% S - Size of neuron layer (# of rows).
% R - Number of inputs (# of columns).
% Returns an SxR weight matrix.
%
www.eeworm.com/read/187736/5217746
java biasneuron.java
package net.openai.ai.nn.network;
import java.util.*;
import java.io.*;
public class BiasNeuron extends Neuron
implements Serializable {
private double biasValue = 1;
public BiasN
www.eeworm.com/read/315543/3619666
h abstractneuron.h
#ifndef _ABSTRACTNEURON_H
#define _ABSTRACTNEURON_H
#include "Neuron.h"
#include "defines.h"
namespace annie
{
/**
* Implementation helper for common types of Neurons. Has everything except activa
www.eeworm.com/read/315543/3619673
h link.h
#ifndef _LINK_H
#define _LINK_H
#include "defines.h"
namespace annie
{
//forward declaration
class Neuron;
/** Abstraction of a connection between two neurons.
* A connection has a source, desti
www.eeworm.com/read/293183/8310935
m randnr.m
function w = randnr(s,r)
%RANDNR Normalized row random generator.
%
% RANDNR(S,R)
% S - Size of neuron layer (# of rows).
% R - Number of inputs (# of columns).
% Returns an SxR weight matrix.
%
www.eeworm.com/read/248950/12531203
m learn.m
function wret = learn ( w , L )
# learning for single neuron classifier
# I don't understand why this is invisible
global x ;
global t ;
disp (" enter learn ")
for l = 1:L
a = x * w ;
y =