Machine Learning for Artists
Introduction to Machine Learning
Machine learning is a subset of artificial intelligence that involves training algorithms to make predictions or decisions based on data.
Applications in Art
Machine learning can be used in various art forms, including generative art, style transfer, and interactive installations.
Getting Started with TensorFlow.js
TensorFlow.js is a JavaScript library for machine learning. Here's a simple example of using TensorFlow.js to generate art:
const tf = require('@tensorflow/tfjs');
// Define a simple model
const model = tf.sequential();
model.add(tf.layers.dense({ units:1, inputShape: [1] }));
model.compile({ optimizer: tf.optimizers.adam(), loss: 'meanSquaredError' });
// Train the model
const xs = tf.tensor2d([1,2,3,4], [4,1]);
const ys = tf.tensor2d([2,3,5,7], [4,1]);
model.fit(xs, ys, { epochs:100 });
// Use the model to make predictions
const prediction = model.predict(tf.tensor2d([5], [1,1]));
prediction.print();