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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]).