   let model
        let input = tf.input({
            shape: [opt.coins, opt.length]
        })
        let x = input
        let proj = tf.layers.dense({
            units: 64,
            activation: "sigmoid"
        })
        for (let k = 0; k < 24; k++) {

            let x1 = tf.layers.dense({
                units: 4096,
                activation: "mish",
                name: 'scoress2' + k
            }).apply(x)
            x = tf.layers.dense({
                units: 4096,
                activation: "tanh",
                name: 'scoress2w' + k
            }).apply(x)
            x = tf.layers.dot({
                axes: [2, 2]
            }).apply([x, x1])
            skip = tf.layers.add().apply([skip, x])
            x = proj.apply(skip)
        }


        x = tf.layers.dense({
            units: 64,
            activation: "softmax"
        }).apply(skip)

        model = tf.model({
            inputs: input,
            outputs: x
        })
explain for me, whats the awesome idea behind the code