# How can I design the input layer of a feed-forward neural network to be trained with a medical dataset with three features?

I am building a feed-forward neural network with two hidden layers, which I will train with a medical dataset, which consists of both data, such as age and sex, and images of x-ray scans ($$1024 \times 1024$$). The labels are types of cancer.

I believe that ages and sex will affect the output of the network. But including the images will make the network biased towards the images, because images will occupy most of the input layer.

How can I design the input layer of the network?

• @BrianO'Donnell A neural network with two hidden layer is a deep neural network – kkr4k Nov 29 at 7:05
• @kkr4k No expert in neural networks considers two hidden layers as a 'deep neural network. nbro corrected the original erroneous reference to 'deep neural network'. – Brian O'Donnell Nov 29 at 19:45