pytorch learning - datasets & dataloaders

The code for processing data samples may become chaotic and difficult to maintain; We ideally want our Dataset code to be separated from our model training code for better readability and modularity. PyTorch provides two data primitives: torch utils. data. DataLoader and torch utils. data. Datasets, which allow you to use preloaded datasets ...

Posted by mark_h_uk on Thu, 30 Dec 2021 02:33:01 +0100

pytorch learning - Constructing Neural Networks

Neural networks consist of layers / modules that perform operations on data. torch.nn Namespace provides all the building blocks needed to build your own neural network. Each module in PyTorch is nn.Module Subclass of. Neural network is a module itself, which is composed of other modules (layers). This nested structure allows easy construct ...

Posted by dm404 on Wed, 22 Dec 2021 05:12:26 +0100