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tensorflow1

Tensorflow.js ์„ ํ˜•ํšŒ๊ท€๋ถ„์„ ๋ชจ๋ธ ์ƒ์„ฑ๊ณผ ํ…Œ์ŠคํŠธํ•˜๊ธฐ 1. ๋ชจ๋ธ ์ƒ์„ฑ๊นŒ์ง€์˜ ๊ณผ์ • let X = tf.input({ shape: [1] }); //๋…๋ฆฝ๋ณ€์ˆ˜ ๊ฐœ์ˆ˜ let Y = tf.layers.dense({ units: 1 }).apply(X); //์ถœ๋ ฅ๋  ๊ฒฐ๊ณผ(์ข…์†)๋ณ€์ˆ˜ ๊ฐœ์ˆ˜ let model = tf.model({ inputs: X, outputs: Y }); //๋ชจ๋ธ ์ •์˜ let compileParam = { optimizer: tf.train.adam()/*๋ฐฉ์‹*/, loss: tf.losses.meanSquaredError/*์†์‹คํ•จ์ˆ˜*/ } model.compile(compileParam); //๋ชจ๋ธ ์ปดํŒŒ์ผ๋ง let fitParam = { epochs: 2000, //ํ•™์ŠตํšŸ์ˆ˜ callbacks:{ onEpochEnd: function(epoch, l.. 2021. 4. 17.
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