Dynamic Neural Network Programming with PyTorch [Video] This is the code repository for Dynamic Neural Network Programming with PyTorch [Video], published by Packt. It contains all the supporting ...

Defining a PyTorch neural network for regression is not trivial but the demo code presented in this article can serve as a template for most scenarios. In situations where a neural network model tends ...

Most neural network libraries, including PyTorch, scikit and Keras, have built-in MNIST datasets. However, working with pre-built MNIST datasets has two big problems.

Learn how to document and share your neural network code and results better with these best practices for coding style, project structure, data and model description, online platforms, README file ...

What This Is This is a PyTorch implementation of the box convolution layer as introduced in the 2018 NeurIPS paper: Burkov, E., & Lempitsky, V. (2018) Deep Neural Networks with Box Convolutions.

Spiking neural network (SNN), a sub-category of brain-inspired neural networks, mimics the biological neural codes, dynamics, and circuitry. One particular observation is that the brain performs ...

Create a Neural Network With PyTorch. PyTorch is an Artificial Intelligence library that has been created by the Facebook company.