Tensorflow.js tf.initializers.orthogonal() Function

// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"

// Initializing the .initializers.orthogonal() function
let geek = tf.initializers.orthogonal(2)

// Printing gain value
console.log(geek);

// Printing individual gain value
console.log('\nIndividual values:\n');
console.log(geek.DEFAULT_GAIN);
console.log(geek.gain);

// Importing the tensorflow.Js library
import * as tf from "@tensorflow/tfjs

// Defining the input value
const inputValue = tf.input({shape:[4]});

// Initializing tf.initializers.orthogonal() function
const funcValue = tf.initializers.orthogonal(4)

// Creating dense layer 1
const dense_layer_1 = tf.layers.dense({
    units: 6, 
    activation: 'relu',
    kernelInitialize: funcValue
});

// Creating dense layer 2
const dense_layer_2 = tf.layers.dense({
    units: 8, 
    activation: 'softmax'
});

// Output 
const outputValue = dense_layer_2.apply(
    dense_layer_1.apply(inputValue)
);

// Creation the model.
const model = tf.model({
    inputs: inputValue,
    outputs: outputValue
});

// Predicting the output.
model.predict(tf.ones([2, 4])).print();