e.a.ann.start: Artifical Neural Network - Wrapper function
In Vitlik/DA2-17: Image Recognition

Description Usage Arguments Value Author(s) Examples

To get (back) to the overview of all steps and functions use this link: a.a.main

This is a wrapper function for an artifical neural network

It executes these functions:

e.b.ann.step1

1 2	e.a.ann.start(blocks, feature1, feature2 = NULL, classification, dataType, imageType, rounds, lr, nodes, nodeString, batch)

`blocks`	A string that holds a path to a cross-validation block file
`feature1`	A string that holds a path to a feature data file (hog, colorHist or pixelFeature28)
`feature2`	A string that holds a path to a second feature data file (the type that was not used in `feature1`).This parameter is optional
`classification`	A string that holds a path to which the result should be stored as .rda file.
`dataType`	er that defines the number of trees randomForest should use (see package randomForest)
`imageType`	A number that defines the number of variables randomly sampled as candidates at each split of randomForest (see package randomForest). This parameter is optional
`rounds`	A number that defines the minimum size of terminal nodes for randomForest (see package randomForest). This parameter is optional
`lr`	A vector of length equal to number of classes that defines the ratio of proportion of votes to cutoff (see package randomForest). This parameter is optional
`nodes`	A vector containing node amounts per layer, e.g. rep(1000, 2) for two layers with 1000 nodes.
`nodeString`	String representation of nodes that are used
`batch`	The amount of objects which the model is trained on every round

A table that holds the pairs of correct and not correct predicted images, the number of correct predicted images and the accuracy percentage

Nils Meckmann, Maren Reuter, Sascha di Bernardo

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\code{result <- e.a.ann.start(blocks = "data/blocks2677IMG.rda", feature1 = "data/hog_original_15_6_complete.rda", classification = "data/classesOrig.rda", 
  dataType = "hog_15_6", imageType = "orig", rounds = "50", lr = "0.00001",
  nodes = rep(10,100), nodeString = "10x100", batch = "100")}