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Keraflow
Deep Learning for Python.
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Built-in initialization functions. More...
Functions | |
| def | uniform |
| Unifrom initialization. | |
| def | normal |
| Normal initialization. | |
| def | lecun_uniform |
| Uniform initialization scaled by the square root of the number of inputs (LeCun 98). More... | |
| def | glorot_normal |
| Gaussian initialization scaled by fan_in + fan_out. More... | |
| def | glorot_uniform |
| Uniform initialization scaled by fan_in + fan_out. | |
| def | he_normal |
| Gaussian initialization scaled by fan_in. More... | |
| def | he_uniform |
| he_uniform initialization. | |
| def | orthogonal |
Use with square 2D layers (shape[0] == shape[1]). More... | |
| def | identity |
Use with square 2D layers (shape[0] == shape[1]). | |
| def | zero |
| All zeros initialization. | |
| def | one |
| All ones initialization. | |
Built-in initialization functions.
| def keraflow.initializations.glorot_normal | ( | shape, | |
name = None |
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Gaussian initialization scaled by fan_in + fan_out.
| def keraflow.initializations.he_normal | ( | shape, | |
name = None |
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Gaussian initialization scaled by fan_in.
| def keraflow.initializations.lecun_uniform | ( | shape, | |
name = None |
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| ) |
Uniform initialization scaled by the square root of the number of inputs (LeCun 98).
| def keraflow.initializations.orthogonal | ( | shape, | |
scale = 1.1, |
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name = None |
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Use with square 2D layers (shape[0] == shape[1]).