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Algorithms in Plato
Peter O'Connor edited this page Mar 8, 2016
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This is a list of learning algorithms in Plato. It should grow over time.
Demo: plato.tools.regressors.demo_mnist_regression
Code: plato.tools.regressors.online_regressor
Demo: plato.tools.mlp.demo_mnist_mlp
Code: plato.tools.mlp.mlp
Demo: plato.tools.rbm.demo_rbm
Code: plato.tools.rbm.restricted_boltzmann_machine
Tutorial: plato.tools.rbm.demo_rbm_tutorial
Demo: plato.tools.dbn.demo_stacked_dbn
Code: plato.tools.dbn.stacked_dbn
Demo: plato.tools.va.demo_gaussian_vae
Code: plato.tools.va.gaussian_variational_autoencoder
Demo: plato.tools.lstm.demo_long_short_term_memory
Code: plato.tools.lstm.long_short_term_memory
Demo: plato.tools.dtp.demo_difference_target_propagation
Code: plato.tools.dtp.difference_target_prop