fully_connected.rs

  /// Runs forward propagation in this layer of the network. Flattens input, computes probabilities of 
  /// outputs based on the dot product with this layer's weights and softmax outputs.
  pub fn 
  forward_propagation<'a> (&mut self, input: &'a Array3<f64>, ctx: &mut SoftmaxContext<'a>) -> Array1<f64> 
  {
    let flattened: Array1<f64> = input.to_owned().into_shape((input.len(),)).unwrap();
    let dot_result = flattened.dot(&self.weights).add(&self.bias);
    let probabilities = softmax(&dot_result);

    ctx.input = Some(input);
    ctx.flattened = Some(flattened);
    ctx.dot_result = Some(dot_result);
    ctx.output = Some(probabilities.clone());

    probabilities
  }