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The attached zip file contains what is needed to implement a two layer neural network. This will hopefully be the first part of a broader collection of neural network tools.
It can be used to train and simulate a NN with two layers, an input layer and an output layer. The output layer's activation function can be the simple perceptron rule, or the logistic sigmoid function.
The perceptron rules work fine, however the...
In the study of circuits and others it is useful to portray quantities as phasors which are functionally equivalent to a vector in polar format.
This class implements the constructor for that data type as well as the functions to add,...
This code was written for a colleague of mine that needed a quick script that could convert a 16 color bmp to a Xilinx FPGA memory file. This could be used for your projects or for an example on the structure for your own coe files. Zip file...
KNMCluster is an implementation of the K-means clustering algorithm. It takes inputs k and indata. k is the initial guess of the number of clusters.
indata is the aggregate data that you...
Creates a number of samples from a specified number of dimensions and centers them around a given mean, and within a given covariance range. You might not find it very useful, but hey, I need something to do this so why not.
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