Basic neural network concepts in CNTK

In the previous chapter, we looked at the basic concepts of a neural network. Let's map the concepts we've learned to components in the CNTK library, and discover how you can use these concepts to build your own model.

Building neural networks using layer functions

Neural networks are made using several layers of neurons. In CNTK, we can model the layers of a neural network using layer functions defined in the layers module. A layer function in CNTK looks like a regular function. For example, you can create the most basic layer type, Dense, with one line of code:

from cntk.layers import Dense
from cntk import input_variable

features = input_variable(100)
layer = Dense(50)(features...