General Methodology to Build the Model

  • Initialize parameters/Define hyperparameters
  • Loop for num_iterations:
    • Forward propagation
    • Compute cost Function
    • Backward propagation
    • Update parameters(using parameters, and grads from backprop)
  • Use trained parameters to predict labels