jens
6ef577c769
- added shape to layer - changed construction of layer from Stack factory - fixed rms_error_accu scaling - RBM: added image display using opencv - improved Status print
27 lines
748 B
Python
27 lines
748 B
Python
import numpy as np
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import time
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rng = np.random.default_rng(int(time.monotonic()))
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def uniform(shape: tuple, mu: float = 0.5, std: float = 1.0) -> np.ndarray:
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return std * (rng.uniform(size=shape) + mu - 0.5)
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def gaussian(shape: tuple, mu: float = 0.5, std: float = 1.0) -> np.ndarray:
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return rng.normal(size=shape, loc=mu, scale=std)
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def sample(src: np.ndarray) -> np.ndarray:
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return (src > uniform(src.shape)).astype(float)
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def prob(src: np.ndarray) -> np.ndarray:
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return 1.0 / (1 + np.exp(-src))
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def rms_error(d_err: np.ndarray):
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d_err_squared = d_err * d_err
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return np.sum(d_err_squared, 1) / d_err_squared[1]
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def rms_error_accu(d_err: np.ndarray):
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d_err_squared = d_err * d_err
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s = np.sum(d_err_squared) / d_err.size
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return s
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