| @@ -20,7 +20,6 @@ class ResnetBlock(Model): | |||
| self.__strides = [2, 1] if down_sample else [1, 1] | |||
| KERNEL_SIZE = (3, 3) | |||
| # use He initialization, instead of Xavier (a.k.a 'glorot_uniform' in Keras), as suggested in [2] | |||
| INIT_SCHEME = "he_normal" | |||
| self.conv_1 = Conv2D(self.__channels, strides=self.__strides[0], | |||