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reset all weights tensorflow

for layer in model.layers: 
  if isinstance(layer, tf.keras.Model):
  reset_weights(layer)
    continue
    for k, initializer in layer.__dict__.items():
  if "initializer" not in k:
  continue
    # find the corresponding variable
    var = getattr(layer, k.replace("_initializer", ""))
    var.assign(initializer(var.shape, var.dtype))

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reset all weights tensorflow

for layer in model.layers: 
  if isinstance(layer, tf.keras.Model):
  reset_weights(layer)
    continue
    for k, initializer in layer.__dict__.items():
  if "initializer" not in k:
  continue
    # find the corresponding variable
    var = getattr(layer, k.replace("_initializer", ""))
    var.assign(initializer(var.shape, var.dtype))

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reset all weights tensorflow

reset all weights tensorflow

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