INNER CODE UNIT · Python

c4

aiff22/DPED · models.py:22

        c4 = tf.nn.relu(_instance_norm(conv2d(c3, W4) + b4))

        W5 = weight_variable([3, 3, 64, 64], name="W5"); b5 = bias_variable([64], name="b5");
        c5 = tf.nn.relu(_instance_norm(conv2d(c4, W5) + b5)) + c3

        # residual 3

        W6 = weight_variable([3, 3, 64, 64], name="W6"); b6 = bias_variable([64], name="b6");
        c6 = tf.nn.relu(_instance_norm(conv2d(c5, W6) + b6))

        W7 = weight_variable([3, 3, 64, 64], name="W7"); b7 = bias_variable([64], name="b7");
        c7 = tf.nn.relu(_instance_norm(conv2d(c6, W7) + b7)) + c5

        # residual 4

        W8 = weight_variable([3, 3, 64, 64], name="W8"); b8 = bias_variable([64], name="b8");
        c8 = tf.nn.relu(_instance_norm(conv2d(c7, W8) + b8))

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