Dr. James McCaffrey of Microsoft Research presents the second of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using PyTorch. The ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers ...

skorch is a scikit-learn compatible neural network library that wraps PyTorch. The goal of skorch is to make it possible to use PyTorch with sklearn. If you are familiar with sklearn and PyTorch ...

PyTorch provides a set of abstractions and features that can help build more complex models, with support for tensors and neural networks. Tensors make it easy to work with large multidimensional ...

Deep Learning beginners quickly learn that Recurrent Neural ... sourced my PyTorch implementation of the same paper. Quick recap - RNNs process information sequentially, i.e., they make use ...