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