Function createModel

quantization/model_mnist.js:20–53

()

import * as tf from '@tensorflow/tfjs';

export function createModel() {
  const model = tf.sequential();
  model.add(tf.layers.conv2d({
    inputShape: [28, 28, 1],
    filters: 32,
    kernelSize: 3,
    activation: 'relu',
  }));
  model.add(tf.layers.conv2d({
    filters: 32,
    kernelSize: 3,
    activation: 'relu',
  }));
  model.add(tf.layers.maxPooling2d({poolSize: [2, 2]}));
  model.add(tf.layers.conv2d({
    filters: 64,
    kernelSize: 3,
    activation: 'relu',
  }));
  model.add(tf.layers.conv2d({
    filters: 64,
    kernelSize: 3,
    activation: 'relu',
  }));
  model.add(tf.layers.maxPooling2d({poolSize: [2, 2]}));
  model.add(tf.layers.flatten());
  model.add(tf.layers.dropout({rate: 0.25}));
  model.add(tf.layers.dense({units: 512, activation: 'relu'}));
  model.add(tf.layers.dropout({rate: 0.5}));
  model.add(tf.layers.dense({units: 10, activation: 'softmax'}));

  compileModel(model);
  return model;
}

export function compileModel(model) {
  const optimizer = 'rmsprop';