• Skip to main content
  • Skip to primary sidebar
  • Skip to footer
  • About
  • Life
  • Tech
  • Travel
  • Work
  • Questions
  • Contact

Welcome

.

How to solve ‘tensorflow is not defined’ error on this tensorflow.js test script and get this script working?

April 10, 2020 by

Questions › How to solve ‘tensorflow is not defined’ error on this tensorflow.js test script and get this script working?
0
Vote Up
Vote Down
Garmaine asked 3 years ago

I want to make a AI which calculates the posible value of a variable, like the value of a cryptocoin or another thing. So, I tried this code:

tfs=document.createElement("script")
tfs.src="https://cdnjs.cloudflare.com/ajax/libs/tensorflow/1.7.2/tf.js"
document.head.appendChild(tfs)

async function trainModel(inputs, outputs, trainingsize, window_size, n_epochs, learning_rate, n_layers, callback){

  const input_layer_shape  = window_size;
  const input_layer_neurons = 100;

  const rnn_input_layer_features = 10;
  const rnn_input_layer_timesteps = input_layer_neurons / rnn_input_layer_features;

  const rnn_input_shape  = [rnn_input_layer_features, rnn_input_layer_timesteps];
  const rnn_output_neurons = 20;

  const rnn_batch_size = window_size;

  const output_layer_shape = rnn_output_neurons;
  const output_layer_neurons = 1;

  const model = tf.sequential();

  let X = inputs.slice(0, Math.floor(trainingsize / 100 * inputs.length));
  let Y = outputs.slice(0, Math.floor(trainingsize / 100 * outputs.length));

  const xs = tf.tensor2d(X, [X.length, X[0].length]).div(tf.scalar(10));
  const ys = tf.tensor2d(Y, [Y.length, 1]).reshape([Y.length, 1]).div(tf.scalar(10));

  model.add(tf.layers.dense({units: input_layer_neurons, inputShape: [input_layer_shape]}));
  model.add(tf.layers.reshape({targetShape: rnn_input_shape}));

  let lstm_cells = [];
  for (let index = 0; index < n_layers; index++) {
       lstm_cells.push(tf.layers.lstmCell({units: rnn_output_neurons}));
  }

  model.add(tf.layers.rnn({
    cell: lstm_cells,
    inputShape: rnn_input_shape,
    returnSequences: false
  }));

  model.add(tf.layers.dense({units: output_layer_neurons, inputShape: [output_layer_shape]}));

  model.compile({
    optimizer: tf.train.adam(learning_rate),
    loss: 'meanSquaredError'
  });

  const hist = await model.fit(xs, ys,{ 
    batchSize: rnn_batch_size, epochs: n_epochs, callbacks: {
      onEpochEnd: async (epoch, log) => {
        callback(epoch, log);
      }
    }
  });

  return { model: model, stats: hist };
}

train=(array1,layers)=>{
    return trainModel([0], array1, 1, innerWidth, 999999, 1, layers, true)
}

console.log(train([1],10))

And the result was this:

brain1.js:21 Uncaught (in promise) ReferenceError: tf is not defined
    at trainModel (brain1.js:21)
    at train (brain1.js:62)
    at brain1.js:65

…after that. How to solve this error, and finally, get this script working? My objetive is to do a "time-TV" and predict an amount of variables like some bunch of sites or images and get some curious data. Could it be possible???

Are you looking for the answer?
Original Question and Possible Answers can be found on `http://stackoverflow.com`

Question Tags: deep-learning, javascript, machine-learning, neural-network, tensorflow

Please login or Register to submit your answer




Primary Sidebar

Tags

Advancements best Business strategies commercial convenience economic Finances Cognitive decline Financial growth firm Future Hidden Gems Home hydration Impact Innovations lighting line of work Mental health Must-See New York City office patronage Productivity profession Profitability tips Profit optimization pursuit recreation Revenue enhancement romance sippy cups social station Technological breakthroughs technology toddlers trading transaction Treasures Uncover undertaking Well-being Wonders Work Young onset dementia

Newsletter

Complete the form below, and we'll send you all the latest news.

Footer

Footer Funnies

Who knew that reading the footer could be such a hilarious adventure? As we navigate websites, books, and documents, we often stumble upon the unassuming space at the bottom, only to discover a treasure trove of amusement. In this side-splitting compilation, we present 100 jokes that celebrate the unsung hero of content – the footer. Get ready to chuckle, giggle, and maybe even snort as we dive into the world of footnotes, disclaimers, and hidden comedic gems. Brace yourself for a wild ride through the footer!

Recent

  • Unveiling the Enigma: Almost-Magical Lamp Lights Highway Turns
  • The Impact of Young Onset Dementia on Employment and Finances: Optimizing Post-Diagnostic Approaches
  • 11 Wonders of 2023 Technological Breakthrough – Unveiling the Future
  • Work from Home and Stay Mentally Sane – Achieve Productivity and Well-being
  • Hidden Gems of New York City – Uncover the Must-See Treasures!

Search

Tags

Advancements best Business strategies commercial convenience economic Finances Cognitive decline Financial growth firm Future Hidden Gems Home hydration Impact Innovations lighting line of work Mental health Must-See New York City office patronage Productivity profession Profitability tips Profit optimization pursuit recreation Revenue enhancement romance sippy cups social station Technological breakthroughs technology toddlers trading transaction Treasures Uncover undertaking Well-being Wonders Work Young onset dementia

Copyright © 2023