From overclockersclub.com
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Researchers have been wondering for a long time how humans learn. After all, no one is born with an understanding of math or language, yet both of these develop throughout early life. In the case of math at least, many forms of life, including humans, have demonstrated an ability to understand when one set is larger than another, without counting the items. Now a virtual neural network has done the same.
This neural network was designed only...
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(PhysOrg.com) -- A cognitive sciences research duo out of Università di Padova, in Italy, have succeeded in building an artificial intelligence network that has through repetition, learned to identify relative group sizes, without counting.
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From api.bing.com
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import cv2 import numpy as np import cProfile import neurolab as nl from pybrain.tools.shortcuts import buildNetwork from pybrain.supervised.trainers import BackpropTrainer from pybrain.datasets import SupervisedDataSet import svmutil from random import uniform from itertools import product import random random.seed(0) # Neil Schemenauer bpnn optimized (controll) class NN2F: def __init__(self, ni, nh, no): xr = xrange ip = product randx...
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From reddit.com
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After taking the Stanford Machine Learning class offered over the Internet last year, [David Singleton] thought he could build something really cool. We have to admit that he nailed it with his neural network controlled car. There’s not much to the build; it’s just an Android phone, an Arduino and a toy car. The machine [...]
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From hackaday.com
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If you own a credit card, chances are you’ve heard about Falcon, the all-seeing technology that monitors your purchases and looks out for signs of fraud. Despite the name, it’s not actually a cybernetic bird or the world’s most financially-savvy car. In reality, it’s a complex neural network “held in secure servers at separate, top-secret locations”.
That’ ...
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From gizmodo.com.au
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Overview
A community portal about Neural networks with blogs, videos, and photos. According to Wikipedia.org: A neural network is a computing paradigm that is loosely modeled after cortical structures of the brain. It consists of interconnected processing elements called neurons that work together to produce an output function. The output of a neural...more
A community portal about Neural networks with blogs, videos, and photos. According to Wikipedia.org: A neural network is a computing paradigm that is loosely modeled after cortical structures of the brain. It consists of interconnected processing elements called neurons that work together to produce an output function. The output of a neural network relies on the cooperation of the individual neurons within the network to operate. Processing of information by neural networks is often done in parallel rather than in series. Since it relies on its member neurons collectively to perform its function, a unique property of a neural network is that it can still perform its overall function even if some of the neurons are not functioning. That is, they are very robust to error or failure.
