HELP! * GREY=local LOCAL HTML version of Foils prepared January 8,96

Foil 50 NPAC Java Demo 4: Neural Networks

From Overview of Java SC95 Tutorial on Web Technologies -- December 4,95. by NPAC Team * See also color IMAGE

Example of interactive Web based telelearning "module"
Backend Computation: Neural Network (Backpropagation) for hand-written character recognition
Interactive Frontend Components:
  • Java/HotJava based character drawing pad
  • alphabet histogram to display the output layer values
  • interactive visualization of hidden units (in progress).
In the current demo, backend is a C code developed at Caltech within C3P (Felten, Hutchinson, Otto).
In the "Grand Challenge" limit (as per WebWork project) this could be replaced by a suitable HPCC computation.
In the "Little Simulation" limit (in progress), a simplified version of the whole backprop code can be written in Java so that the whole Neural Network "module" can be downloaded and explored at the client/student side.



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