Finally, let's build a neural network! We'll be building a simple three-layer neural network with one hidden layer. A three-layer neural network has two weight matrices, so we can define the neural network as such:
type NN struct { hidden, final *tensor.Dense b0, b1 float64}
hidden represents the weight matrix between the input layer and hidden layer, while final represents the weight matrix between the hidden layer and the final layer.
This is a graphical representation of our *NN data structure:
The input layer is the slice of 784 float64 which is then fed forward (that is, a matrix multiplication followed by an ...
