Elements of a PyTorch Deep Learning Model (1)- Tensors, Autograd and Optimization
Explore the key elements of PyTorch deep learning models, including tensors, autograd for gradient computation, and optimization techniques like SGD and Adagrad. — TENSOR AND COMMON TENSOR OPERATIONS In PyTorch, a tensor is a multi-dimensional array that can represent scalars, vectors, matrices, or higher-dimensional data. Tensor refers to the generalization of vectors and matrices to an arbitrary number of dimensions. torch module provides extensive library of operations on them.