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 Code Pylearn2
Analysis Type Machine Learning
Description Multi-layer Perceptron Training
Suggested Hardware Jade / 4 cores
Command
./mnist_mlp.py
Estimated Run Time 11 minutes