Tensors, Models & Inference. Tensors & Backends. import * as tf from '@tensorflow/tfjs'; const t = tf.tensor([1, 2, 3, 4], [2, 2]); console.log(await t.array()); // async — the WebGL backend may not have // finished the …
ReadTraining & Transfer Learning. Defining & Training a Model. // Mirrors Keras's Sequential API almost exactly const model = tf.sequential({ layers: [ tf.layers.dense({ units: 16, activation: 'relu', inputShape: [4] }), tf.…
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