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/***
* Code for canvas drawing is shamefully stolen from this nice project below
* https://github.com/Gogul09/digit-recognizer-live/blob/master/js/app.js
*/
const canvasWidth = 400;
const canvasHeight = 400;
const canvasStrokeStyle = "white";
const canvasLineJoin = "round";
const canvasLineWidth = 2;
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.4.1/css/bootstrap.min.css"
integrity="sha384-Vkoo8x4CGsO3+Hhxv8T/Q5PaXtkKtu6ug5TOeNV6gBiFeWPGFN9MuhOf23Q9Ifjh" crossorigin="anonymous">
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf.min.js"></script>
<script type="text/javascript" src="https://code.jquery.com/jquery-2.1.1.min.js"></script>
node app.js --train_mode=0 --epochs=10 --batch_size=64 --model_save_path='file:///home/personal/TensorFlowjs_Projects/mnist-classification/public/assets/model'
node app.js --train_mode=1 --epochs=10 --batch_size=64 --model_save_path='file:///home/personal/TensorFlowjs_Projects/mnist-classification/public/assets/model'
const tf = require('@tensorflow/tfjs-node');
const data = require('./data')
const IMAGE_WIDTH = 28
const IMAGE_HEIGHT = 28
const IMAGE_CHANNEL = 1
function getModel() {
const tf = require('@tensorflow/tfjs-node');
const BASE_PATH = "file:///home/dsn/personal/Tfjs/TensorFlowjs_Projects/mnist-classification/dataset/";
const TRAIN_DATA = `${BASE_PATH}train.csv`;
const IMAGE_WIDTH = 28
const IMAGE_HEIGHT = 28
const IMAGE_CHANNEL = 1
const NUM_CLASSES = 10;
const DATA_SIZE = 42000
{
"name": "mnist-classification",
"version": "0.0.0",
"private": true,
"scripts": {
"start": "node ./bin/www"
},
"dependencies": {
"@tensorflow/tfjs-node": "1.7.4",
"argparse": "*",
const express = require('express');
const path = require('path');
const cookieParser = require('cookie-parser');
const logger = require('morgan');
const argparse = require('argparse');
const model = require('./model')
const indexRouter = require('./routes/index');
/**
* Normalize data set using min-max scaling
*/
export function normalizeData(tensor){
const data_max = tensor.max();
const data_min = tensor.min();
const normalized_tensor = tensor.sub(data_min).div(data_max.sub(data_min));
return normalized_tensor;
}
import * as tf from '@tensorflow/tfjs';
import * as tfvis from '@tensorflow/tfjs-vis';
import { ForestDataset, FEATURE_NAMES } from './data';
import { normalizeData } from './utils'
import * as ui from './ui';
const forestdata = new ForestDataset();
const tensors = {}
const LEARNING_RATE = 0.01