mean_absolute_error#
- class brainpy.losses.mean_absolute_error(x, y, axis=None, reduction='mean')[source]#
Computes the mean absolute error between x and y.
- Parameters:
x – a tensor of shape (d0, .. dN-1).
y – a tensor of shape (d0, .. dN-1).
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 absolute error.