I am learning to use tensorflow.js. I am also using the tfvis library to print information about the neural net to the web browser. When I create a create a dense neural net with a layer with 5 neurons and another layer with 2 neurons, each layer has a bias vector of length 5 and 2 respectively. I checked the docs (https://js.tensorflow.org/api/0.6.1/#layers.dense), and it says that there is indeed a bias vector for each dense layer. Isn't a vector redundant? Doesn't each layer only need a single number for the bias? See the code below:

//Create tensorflow neural net
this.model = tf.sequential();

this.model.add(tf.layers.dense({units: 5, inputShape: [1]}))
this.model.add(tf.layers.dense({units: 2}))

const surface = { name: 'Layer Summary', tab: 'Model Inspection'};
tfvis.show.layer(surface, this.model.getLayer(undefined, 0))