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Using the ConvNetSharp framework, there are three ways in which to create a neural network. First, we can use the Core.Layers or Flow.Layers objects to create a convolutional network (with or without a computational graph), as shown in the following diagram:
Alternatively, we can create a computational graph like the following:
Let's take a look at our first example. This is a minimal example in which we will define a two-layer neural network and train it on a single data point. We are intentionally making this example verbose so that we can walk through each step together to improve our understanding:
var net = new Net<double>();
The InputLayer variable declares...
