learnergy.modelsΒΆ
This is the heart, basically. All models are declared and implemented here. We will offer you the most amazing implementation of everything we are working with. Please take a closer look into this package.
- learnergy.models.bernoulli
ConvRBMConvRBM.W()ConvRBM.__init__()ConvRBM.a()ConvRBM.b()ConvRBM.decay()ConvRBM.energy()ConvRBM.filter_shape()ConvRBM.fit()ConvRBM.forward()ConvRBM.gibbs_sampling()ConvRBM.hidden_sampling()ConvRBM.hidden_shape()ConvRBM.lr()ConvRBM.maxpooling()ConvRBM.momentum()ConvRBM.n_channels()ConvRBM.n_filters()ConvRBM.optimizer()ConvRBM.reconstruct()ConvRBM.steps()ConvRBM.visible_sampling()ConvRBM.visible_shape()
DiscriminativeRBMDropConnectRBMDropoutRBMHybridDiscriminativeRBMRBMRBM.T()RBM.W()RBM.__init__()RBM.a()RBM.b()RBM.decay()RBM.energy()RBM.fit()RBM.forward()RBM.gibbs_sampling()RBM.hidden_sampling()RBM.lr()RBM.momentum()RBM.n_hidden()RBM.n_visible()RBM.optimizer()RBM.pre_activation()RBM.pseudo_likelihood()RBM.reconstruct()RBM.steps()RBM.visible_sampling()
- ConvRBM
- DiscriminativeRBM
- DropConnectRBM
- DropoutRBM
- HybridDiscriminativeRBM
- RBM
- learnergy.models.deep
- learnergy.models.extra
- learnergy.models.gaussian
A package contaning subpackages of models for all common learnergy modules.