Image identification using a convolutional neural network

This blog explores a typical image identification task using a convolutional ("Deep Learning") neural network. For this purpose we will use a simple JavaCNN packageby D.Persson, and make our example small and concise using the Python scripting language. This example can also be rewritten in Java, Groovy, JRuby or any scripting language supported by the Java virtual machine. This example will use images in the grayscale format (PGM). The name "PGM" is an acronym derived from "Portable Gray Map" where cell values range from 0 - 255.