Binary Neural Networks (BNNs) use specialized forward functions to handle binary activations.BNNs employ three common forward methods: straightforward mapping, stochasticity, and approximation.BNNs use gradient approximations for efficient backpropagation through non-differentiable binary functions.BNNs optimize memory and computation by binarizing weights in linear layers and utilizing Binary LSTMs for sequence modeling.