PyTorch Fundamentals
PyTorch tensors, autograd, neural network modules, training loops, GPU acceleration, and production patterns for deep learning.
PyTorch tensors, autograd, neural network modules, training loops, GPU acceleration, and production patterns for deep learning.
A deep engineering dive into tensors as generalizations of matrices - shapes, axes, contractions, Einstein summation, broadcasting, and vectorization - the computational substrate of every deep learning model.