Fixing XOR gate downside— utilizing simply NumPy, then examine with PyTorch implementation.
Define
・Introduction to the XOR Gate Downside
・Developing a 2-Layer Neural Community
・Ahead Propagation
・Chain Guidelines for Backpropagation
・Implementation with NumPy
・Evaluating Outcomes with PyTorch
・Abstract
・References
Introduction to the XOR Gate Downside
The XOR (unique OR) gate downside is taken into account easy for a neural community as a result of it includes studying a easy sample of relationships between inputs and outputs {that a} correctly designed community can seize, although it’s not linearly separable (which means you possibly can’t draw a single straight line to separate the outputs into two teams based mostly on inputs). Neural networks, notably these with hidden layers, are able to studying non-linear patterns.
Let’s have a look at the inputs and outputs of XOR Gate. Right here is our 4 coaching information.
