INNER CODE UNIT · Python

c7

aiff22/DPED · models.py:33

        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))

        W9 = weight_variable([3, 3, 64, 64], name="W9"); b9 = bias_variable([64], name="b9");
        c9 = tf.nn.relu(_instance_norm(conv2d(c8, W9) + b9)) + c7

        # Convolutional

        W10 = weight_variable([3, 3, 64, 64], name="W10"); b10 = bias_variable([64], name="b10");
        c10 = tf.nn.relu(conv2d(c9, W10) + b10)

        W11 = weight_variable([3, 3, 64, 64], name="W11"); b11 = bias_variable([64], name="b11");
        c11 = tf.nn.relu(conv2d(c10, W11) + b11)

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