Difference between revisions of "VS298 (Fall 06): Suggested projects"

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* NETtalk - train a multi-layer perceptron to convert text to speech.  You can get Sejnowski & Rosenberg's original paper and the data they used [http://www.cnl.salk.edu/ParallelNetsPronounce/index.php here].   
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* NETtalk.  Train a multi-layer perceptron to convert text to speech.  You can get Sejnowski & Rosenberg's original paper and the data they used [http://www.cnl.salk.edu/ParallelNetsPronounce/index.php here].  (You will need a DECtalk speech synthesizer to play the phonemes - you can probably pick up a used one online.)
  
* LeNet -
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* Recognition of handwritten digits. 
  
 
* Foldiak network
 
* Foldiak network

Revision as of 01:22, 23 October 2006

  • NETtalk. Train a multi-layer perceptron to convert text to speech. You can get Sejnowski & Rosenberg's original paper and the data they used here. (You will need a DECtalk speech synthesizer to play the phonemes - you can probably pick up a used one online.)
  • Recognition of handwritten digits.
  • Foldiak network
  • Cortical maps
  • Feedforward vs. Recurrent weights in networks
  • Restricted Boltzmann machines
  • Integrate-and-fire model neuron