Process Vector is input's neural of Input Layer of Neural network

Question

I'm researching Face Detection using Neural network and PCA (Principal component analysis), but I have a problem with the Input Layer of the Neural Network:

After using PCA to process the image face database, I have a set of EigenVectors (1 Image face = 1 Vector).

According to the Neural Network documentation, the input layer only accepts real values (eg 0.1, 1, 100, 10000). But in case the input's are vectors, so I can't process in this step.

Answer 1

Vector - an ordered set of numbers in your case. Right? The input layer of the neural network can also be considered as a vector. Both vectors must be the same length. So you should first element of the vector apply to a first input of the input layer network, the second element of the vector - the second input, and the third - the third input, ..