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""" | |
Code for training RBMs with contrastive divergence. Tries to be as | |
quick and memory-efficient as possible while utilizing only pure Python | |
and NumPy. | |
""" | |
# Copyright (c) 2009, David Warde-Farley | |
# All rights reserved. | |
# | |
# Redistribution and use in source and binary forms, with or without |
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import numpy | |
import theano | |
from theano import tensor as T | |
from theano.sandbox import rng_mrg | |
class EquiSGD(object): | |
"""Equilibrated SGD (eSGD). | |
Parameters |