What is the output layer of a feedforward neural network called?Select one:a.Output layerb.None of the abovec.Hidden layerd.Input layer

Break Down the Problem

1. Identify the components of a feedforward neural network.
2. Determine the correct terminology used for the layers in the context of neural networks.

Relevant Concepts

• A feedforward neural network typically consists of three main types of layers:
  • Input Layer: The first layer that receives the input data.
  • Hidden Layers: Any intermediate layers between the input layer and the output layer.
  • Output Layer: The final layer that produces the output for the model.

Analysis and Detail

• The question specifically asks for the designation of the last layer in the network, which is responsible for producing the final outputs based on the computations made by the network.

Verify and Summarize

• Given the options: a. Output layer b. None of the above c. Hidden layer d. Input layer
• The correct answer, based on the standard naming convention in a feedforward neural network, is clearly stated.

Final Answer

a. Output layer