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fixed cd_binary_binary

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jens
2026-01-01 15:55:35 +01:00
parent dc998d30a2
commit e67207504b
1 changed files with 7 additions and 9 deletions
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src/rbm/train.py
+7 -9
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@@ -85,22 +85,20 @@ def cd_jens(entity: Entity, v_states: Mat, params: TrainingParams):
def cd_binary_binary(entity: Entity, data_pos: Mat, params: TrainingParams): def cd_binary_binary(entity: Entity, data_pos: Mat, params: TrainingParams):
# Positive phase # Positive phase
h_probs_pos = entity.h_given_v(data_pos) h_probs_pos = prob(entity.h_given_v(data_pos))
# Sample hidden states
if not params.do_rao_blackwell:
h_probs_pos = sample(h_probs_pos)
# Update weights (positive phase) # Update weights (positive phase)
dw = np.dot(np.transpose(data_pos), h_probs_pos) dw = np.dot(np.transpose(data_pos), h_probs_pos)
dbh = np.sum(h_probs_pos, 0) dbh = np.sum(h_probs_pos, 0)
dbv = np.sum(data_pos, 0) dbv = np.sum(data_pos, 0)
# Sample hidden states
if params.do_rao_blackwell:
h_states_pos = h_probs_pos
else:
h_states_pos = sample(h_probs_pos)
# Negative phase # Negative phase
data_neg = entity.v_given_h(h_states_pos) data_neg = prob(entity.v_given_h(h_probs_pos))
h_probs_neg = entity.h_given_v(data_neg) h_probs_neg = prob(entity.h_given_v(data_neg))
# Gibbs sampling with training params # Gibbs sampling with training params
# ToDo # ToDo