How to get value of tensor2d in tensorflow.js model which corresponds to a numpy array-CodePudding

So I have h5 Keras Tensorflow Deep Learning model which accepts a NumPy array as an input and gives the desired numerical result in a form of a NumPy array (Python)

Now I want to do the same in tensorflow.js so I converted the model and imported it and used the model.predict function (JavaScript)

    const x = tf.tensor2d([company_name])
    const output = model.predict(x)
    console.log(output)

And I get this as the output

Tensor {
  kept: false,
  isDisposedInternal: false,
  shape: [ 1, 1 ],
  dtype: 'float32',
  size: 1,
  strides: [ 1 ],
  dataId: { id: 35 },
  id: 52,
  rankType: '2',
  scopeId: 0
}

I would like to get the actual value of the tensor2d like 38.340986 that I got in the NumPy array. I tried using

model.predict(x.get(0,0));

But it returns a type error

Help is appreciated.

CodePudding user response：

You will need to download the tensors when using Tensorflow.js

const output = model.predict(x).dataSync()

CodePudding user response：

Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices to potentially higher dimensions.

model.predict(np.array([value1], [value2])))