Which of the following statements about Keras neural network components is false?
A) A neural network is a sequence of layers containing the neurons used to learn from data samples. Each layer's neurons receive inputs, process them via an optimizer function, and produce outputs.
B) The data is fed into the network via an input layer that specifies the dimensions of the sample data.
C) The input layer is followed by hidden layers of neurons that implement the learning and an output layer that produces predictions. The more layers you stack, the deeper the network is (hence the term deep learning).

Question

Quizplus · Accepted Answer

Neurons in a neural network do not process inputs via an optimizer function. Instead, they apply weights to the inputs and pass them through an activation function to produce outputs. Optimizer functions are used to adjust the weights of the neurons during training, not to process inputs in individual neurons.

Which of the Following Statements About Keras Neural Network Components