TensorFlow demonstration of the Knowledge Distillation framework to show how soft labels act as regularizers and a neural network’s knowledge can be transfered to a simpler model
PyTorch Implementation with sklearn-like API of a Neural Network that constructs a Boolean Function by dividing the feature space with convex polytopes.
TensorFlow demonstration of the Knowledge Distillation framework to show how soft labels act as regularizers and a neural network’s knowledge can be transfered to a simpler model
PyTorch Implementation with sklearn-like API of a Neural Network that constructs a Boolean Function by dividing the feature space with convex polytopes.