As perceptron uses the threshold activation function, we cannot use the TensorFlow optimizers to update weights. We will have to use the weight update rule:

Here is the learning rate. For programming simplicity, bias can be added as one additional weight with input fixed to +1. Then the preceding equation can be used to update both weights and biases simultaneously.