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OpenANN
1.1.0
An open source library for artificial neural networks.
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Inheritance diagram for net.RBM:Public Member Functions | |
| def | __init__ |
| def | __dealloc__ |
| def | predict |
| def | visible_units |
| def | hidden_units |
| def | get_weights |
| def | get_visible_probs |
| def | get_visible_sample |
| def | reconstruct_prob |
| def | sample_H_given_V |
| def | sample_V_given_H |
Public Attributes | |
| thisptr | |
| learner | |
Restricted Boltzmann machine.
| def net.RBM.__init__ | ( | self, | |
| D, | |||
| H, | |||
cd_N = 1, |
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std_dev = 0.01, |
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backprop = True, |
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l1penalty = 0.0, |
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l2penalty = 0.0 |
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| ) |
| def net.RBM.__dealloc__ | ( | self) |
| def net.RBM.get_visible_probs | ( | self) |
| def net.RBM.get_visible_sample | ( | self) |
| def net.RBM.get_weights | ( | self) |
| def net.RBM.hidden_units | ( | self) |
| def net.RBM.predict | ( | self, | |
| x_numpy | |||
| ) |
| def net.RBM.reconstruct_prob | ( | self, | |
| n, | |||
| steps | |||
| ) |
| def net.RBM.sample_H_given_V | ( | self) |
| def net.RBM.sample_V_given_H | ( | self) |
| def net.RBM.visible_units | ( | self) |
| net.RBM.learner |
| net.RBM.thisptr |
1.8.4