resident model has many layers we cut off the last layer the last layer of what's left has information about our photo content stored as a series of numbers in a tensor it should be a one-dimensional tensor which is also called a vector the vector can be shown as a series of dots each dot is called a node the first node represents the first number in the vector the second node represents the second number and so on practical models have far more nodes than we've on here we want to classify the image into two categories urban and rural so