Pylearn2 Multi-layer Perceptron Training Example

Pylearn2 multi-layer perceptron (MLP) image classifier being trained on the MNIST handwritten digit data set.

This example is based on a tutorial example in the pylearn2 github repository: multilayer_perceptron. The final model will be in the output files and named “mlp_3_best.pkl”.

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Simulation CodePylearn2
Analysis TypeMachine Learning
DescriptionMulti-layer Perceptron Training
Suggested HardwareJade / 4 cores
Command 
./mnist_mlp.py
Estimated Run Time11 minutes