MCPcopy
hub / github.com/ddbourgin/numpy-ml / derived_variables

Method derived_variables

numpy_ml/neural_nets/wrappers/wrappers.py:55–65  ·  view source on GitHub ↗

A dictionary of the intermediate values computed during layer training.

(self)

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53
54 @property
55 def derived_variables(self):
56 """
57 A dictionary of the intermediate values computed during layer
58 training.
59 """
60 dv = self._base_layer.derived_variables.copy()
61 if "wrappers" in dv:
62 dv["wrappers"].append(self._wrapper_derived_variables)
63 else:
64 dv["wrappers"] = [self._wrapper_derived_variables]
65 return dv
66
67 @property
68 def gradients(self):

Callers

nothing calls this directly

Calls 1

copyMethod · 0.45

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