javascript - Error: Error when checking input: expected dense_Dense1_input to have 3 dimension(s). but got array with shape 1,9

Question

Im really new to tensorflow.js and im trying to do simple model that tell you on what side of the canvas you cliked

const model = tf.sequential();
model.add(
         tf.layers.dense({
           units: 200,
           activation: "sigmoid",
           inputShape: [0, 1],
         })
       );
       model.add(
         tf.layers.dense({
           units: 2,
           activation: "softmax",
         })
       );
       model.compile({
         optimizer: optimizer,
         loss: "categoricalCrossentropy",
         metrics: ["accuracy"],
       });

my training and testing data

        const yTrain = tf.tensor2d(
          [10, 130, 60, 20, 150, 110, 3, 160, 99],
          [1, 9]
        );
        const xTrain = tf.tensor2d([0, 1, 0, 0, 1, 1, 0, 1, 0], [1, 9]);

        const yTest = tf.tensor2d(
          [5, 106, 33, 88, 104, 140, 7, 60, 154],
          [1, 9]
        );
        const xTest = tf.tensor2d([0, 1, 0, 0, 1, 1, 0, 0, 1], [1, 9]);

Answer 1

The inputShape is of size 2, therefore, the features (here xtrain and xtest) should be of dimension 3.

Additionnally, it does not make sense to have a dimension size to be 0 (that will mean that the tensor is empty).

Given your xtrain and xtest shape, [a, b], the inputShape, should be [b].

This shape mismatch between the model and the training data has been discussed here and there