Deep Learning, Framework, Neural Networks, Heartbeat, Machine Learning.
using PyTorch as its backend. PyTorch’s dynamic ability to perform differentiation and construct gradients is extremely valuable for random operations in a probabilistic model. PyTorch’s 3 Levels of Abstraction: Tensor: Imperative ndarray, but runs on GPU Variable: Node in a computational graph;