mean_squared_log_error#
- class brainpy.losses.mean_squared_log_error(predicts, targets, axis=None, reduction='mean')[source]#
Computes the mean squared logarithmic error between y_true and y_pred.
- Parameters:
targets – a tensor of shape (d0, .. dN-1).
predicts – a tensor of shape (d0, .. dN-1).
keep_axis – a sequence of the dimensions to keep, use None to return a scalar value.
- Returns:
tensor of shape (d_i, …, for i in keep_axis) containing the mean squared error.