Dive Into Deep Learning - Lecture 5: Parameter Access, Initialization, and storage in PyTorch

In this video, we discuss how to extract the parameters of a neural network or deep learning model, i.e., weights and biases, to reuse them in some other context or to save them to disk. We use to define neural network models in PyTorch and we discuss the use of state_dict, named_parameters, for initialization, and for saving and loading model parameters in PyTorch. #PyTorch #Parameters #Initialization