- re-write intro to readme, for readability and clarity's sake
- touch on how images with text are broken down in README.md
- refine instructions in README
- refine cl options / interaction & naming, make a man page
- write readme on doing image recognition stuff and reading graphs
- write trainParams in main
- main
- main
- trainNeuralNet
- runNeuralNet
- imax
- getClassMatch
- runNeuralNetImageToText
- hasKey
- dStruct
- todo:
- refine interaction in numeric options, & OCR training
- neuralNet
- neuron
- neuralNetLayer
- neuralNet
- todo:
- n/a
- propagate
- backprop
- sigmoid
- derivSigmoid
- errorGradientOutputLayer
- errorGradientHiddenLayer
- derivActivation
- activation
- y
- deltaThreshhold
- deltaWeight
- sum
- randLst
- todo:
- test hidden layers?
- preprocess
- receptor
- todo:
- finish implementing and start testing, merge with current code
- indenter
- indenter
- todo:
- n/a
- file
- getDataFromFile
- saveNeuralNet
- loadNeuralNet
- saveDataToFile
- hasSubString
- todo:
- n/a
- capture
- decomposeParagraph
- decomposeLine
- inverse
- getImageValues
- cropLargestLeftMost
- cropLargestTopmost
- isEmptyHorizontal
- isEmptyVertical
- isEmptyImage
- isEmptyPixel
- todo:
- make a way to save net printout to file