brainpy.losses.mean_absolute_error
brainpy.losses.mean_absolute_error#
- brainpy.losses.mean_absolute_error(x, y, axis=None)[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).
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 absolute error.