Daniel Voigt Godoy - Deep Learning with PyTorch Step-by-Step A Beginner’s Guide-leanpub

Output
(tensor([[-0.5873, -2.5140],
[-1.6189, -0.4233]], device='cuda:0'),
tensor([0.8272, 0.9219], device='cuda:0'))
"What does it look like?"
Let’s visualize the transformed "perfect" square.
Figure 8.13 - Transformed inputs (corners)
Our SquareModel learned that it needs to scale, shear, flip, and translate the inputs
(corners) at every step before adding each of them to the transformed hidden
state.
Hidden States
Remember, there are eight possible sequences (Figure 8.3) since it is possible to
start at any of the four corners, and move in either direction. Each corner was
assigned a color (as in the figure above), and since clockwise is the positive class, it
is represented by a "+" sign.
If we use the "perfect" square as input to our trained model, that’s what the final
hidden states look like for each of the eight sequences.
620 | Chapter 8: Sequences