ryanzidago

def mnist_loss(predictions, targets):
    predictions = predictions.sigmoid()
    return torch.where(targets == 1, 1 - predictions, predictions).mean()

class BasicOptim:
    def __init__(self, params, learning_rate):
        self.params = params
        self.learning_rate = learning_rate
        
    def step(self, *args, **kwargs):

ryanzidago

defmodule RomanNumerals do
  import IO, only: [iodata_to_binary: 1]

  @doc """
  Convert the number to a roman number.
  """
  @spec numeral(pos_integer) :: String.t()
  def numeral(0),               do: ""
  def numeral(1),               do: "I"
  def numeral(2),               do: "II"