DESCRIPTION.rst

Mariana: If you can draw it, you can make it.

Named after the deepest place on earth (Mariana trench), Mariana is a Python Machine Learning Framework built on top of Theano, that focuses on ease of use. The full documentation is available here.

Creating Neural Networks with Mariana

import Mariana.activations as MA
import Mariana.decorators as MD
import Mariana.layers as ML
import Mariana.costs as MC
import Mariana.regularizations as MR
import Mariana.scenari as MS

The instant MLP with dropout, L1 regularization and ReLUs

ls = MS.GradientDescent(lr = 0.01)
cost = MC.NegativeLogLikelihood()

i = ML.Input(28*28, name = "inputLayer")
h = ML.Hidden(300, activation = MA.reLU, decorators = [MD.BinomialDropout(0.2)], regularizations = [ MR.L1(0.0001) ])
o = ML.SoftmaxClassifier(9, learningScenario = ls, costObject = cost, regularizations = [ MR.L1(0.0001) ])

MLP = i > h > o