The process of creating a PyTorch neural network for regression consists of six steps: Prepare the training and test data; Implement a Dataset object to serve up the data in batches; Design and ...

In principle it's possible to create a neural network classifier for MNIST data using just a single linear layer that accepts 784 input values and emits 10 logits or pseudo-probabilities. But this ...

As neural networks scale to dozens of layers and billions of parameters, Facebook offers greater parallelism for models with PyTorch 1.1. Facebook’s PyTorch 1.1 does the heavy lifting for ...