Surbiris' TensorFlow.js Project!

F12ye basip, tensorflow kod ciktisini gorunuz! :)

TensorFlow.js hakkinda daha fazla bilgi etmek icin.


	  // Notice there is no 'import' statement. 'tf' is available on the index-page

      // because of the script tag above.


	  
      // Define a model for linear regression.

      const model = tf.sequential();

      model.add(tf.layers.dense({units: 1, inputShape: [1]}));



      // Prepare the model for training: Specify the loss and the optimizer.

      model.compile({loss: 'meanSquaredError', optimizer: 'sgd'});



      // Generate some synthetic data for training.

      const xs = tf.tensor2d([1, 2, 3, 4], [4, 1]);

      const ys = tf.tensor2d([1, 3, 5, 7], [4, 1]);



      // Train the model using the data.

      model.fit(xs, ys).then(() => {

        // Use the model to do inference on a data point the model hasnt seen before:

        // Open the browser devtools to see the output

        model.predict(tf.tensor2d([5], [1, 1])).print();


		
      });