twodlearn.templates.mnist.supervised module¶

class twodlearn.templates.mnist.supervised.Cifar10Supervised(options=None, tmp_path='tmp')[source]¶

Bases: twodlearn.templates.mnist.supervised.MnistSupervised

feed_train(batch_size=None)[source]¶

feed_valid(batch_size=None)[source]¶

class twodlearn.templates.mnist.supervised.Cifar10TestMlp(options=None, logger_path='tmp', session=None)[source]¶: Bases: twodlearn.templates.mnist.supervised.MnistTestMlp

class twodlearn.templates.mnist.supervised.MnistCustomMlp(options=None, logger_path='tmp', session=None)[source]¶: Bases: twodlearn.templates.mnist.supervised.MnistMlp

class twodlearn.templates.mnist.supervised.MnistMlp(options=None, logger_path='tmp', session=None)[source]¶: Bases: twodlearn.templates.supervised.MlModel

class twodlearn.templates.mnist.supervised.MnistSupervised(options=None, tmp_path='tmp')[source]¶: Bases: twodlearn.templates.mnist.supervised.SimpleMnistSupervised

class twodlearn.templates.mnist.supervised.MnistTestMlp(options=None, logger_path='tmp', session=None)[source]¶: Bases: twodlearn.templates.mnist.supervised.MnistCustomMlp

class twodlearn.templates.mnist.supervised.RandomLinear(units, *args, **kargs)[source]¶: Bases: twodlearn.feedforward.LinearLayer

class twodlearn.templates.mnist.supervised.SimpleMnistSupervised(options=None, tmp_path='tmp')[source]¶

Bases: twodlearn.templates.supervised.Supervised

feed_train()[source]¶

feed_valid()[source]¶

run_training()[source]¶

class twodlearn.templates.mnist.supervised.SupervisedObjective(op, loss, fit_loss, labels)[source]¶: Bases: object