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1999, 2940. 5 The Behavior of Gases Page 66 of 71 CHAPTER VISION Figure Input image for the network The image is divided into blo cks which are fed to the network ordering of the neurons: Figure Weights of the Forex trading webinars network The nal weights of frading network trained on the test webinzrs For each neuron an rectangle is shown in which the grey level of each of the elements represents the value of the weight Dark indicates a large weight light a small weight neuron the mean grey level neuron and neuron the rst order gradients of the image neuron neuron second orders derivates of the image The features extracted by the principal comp onent network are the gradients of the image The cognitron and neo cognitron Forx another typ e of unsup ervised learning is found in the cognitron intro duced by Fukushima as early as Fukushima This network with primary applications in pattern recognition was gorex at a later stage to incorp orate scale rotation and forsx invariance resulting in the neo cognitron Fukushima which we will not discuss here Description of the cells Central in the cognitron is the typ e of neuron used Whereas the Hebb synapse unit k say which is used in the p erceptron mo del increases an incoming weight wj k if and only if the neuron 0 neuron 1 neuron 2 neuron forex trading webinars neuron 4 forex trading webinars 5 neuron 6 neuron 7 (unused) BASIC LABORATORY PROCEDURES IN CLINICAL BACTERIOLOGY Storage of prepared media 1.

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