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Removed extraneous threshold parameter from train(); put delta calculation in correct layer order for multi-layer networks

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Classic Computer Science Problems in Swift.playground/Pages/Chapter 7.xcplaygroundpage
- Contents.swift

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Lines changed: 2 additions & 2 deletions

Original file line number	Diff line number	Diff line change
`@@ -201,7 +201,7 @@ class Network {`
`201`	`201`	`//calculate delta for output layer neurons`
`202`	`202`	`layers.last?.calculateDeltasForOutputLayer(expected: expected)`
`203`	`203`	`//calculate delta for prior layers`
`204`		`- for l in 1..<layers.count - 1 {`
	`204`	`+ for l in (1..<layers.count - 1).reversed() {`
`205`	`205`	`layers[l].calculateDeltasForHiddenLayer(nextLayer: layers[l + 1])`
`206`	`206`	`}`
`207`	`207`	`}`
`@@ -222,7 +222,7 @@ class Network {`
`222`	`222`	`/// train() uses the results of outputs() run over`
`223`	`223`	`/// many inputs and compared against expecteds to feed`
`224`	`224`	`/// backpropagate() and updateWeights()`
`225`		`- func train(inputs: [[Double]], expecteds: [[Double]], printError: Bool = false, threshold:Double?=nil) {`
	`225`	`+ func train(inputs: [[Double]], expecteds: [[Double]], printError: Bool = false) {`
`226`	`226`	`for (location, xs) in inputs.enumerated() {`
`227`	`227`	`let ys = expecteds[location]`
`228`	`228`	`let outs = outputs(input: xs)`

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