All bias in conv layers before the batch norm is unnecessary.

[nzw0301]

When BatchNorm with affine=True is used, the previous layer's bias is cancelled (See the original BN paper for details). The current implementation's Conv2D layers are used with bias=True, so by changing bias=False, UNet and NestedUnet might be faster.