Train a neural network on the output from an order 4 maximal LFSR (Problem 6.3) and learn to reproduce it. How do the results depend on the network depth and architecture?
Iteration:
Initial loss:
Current loss:
The visualization shows the input (top row), target (second row), prediction (third row), and accuracy (bottom row - red pixel indicates wrong prediction).