Step 1: Create Training Set |
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| Add and remove files and folders in a tree-style layout |
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Step 2: Assign output values for each image |
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| Double clicking on the filenames displays the image for swift identification |
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Step 3: Train the neural network |
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| Allows user to analyze the data set and select training program, data input and output and error threshold |
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Step 4: Validate the network |
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| Select a data set to validate. Outputs Html files. |
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