Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high-level ...

The purpose of this exercise is to refresh your knowledge of Python and NumPy. We will use numpy functions to create different types of patterns, and implement an image generator class to load and to ...

A modular deep learning tutorial framework driven by YAML configs. Create models, backbones, heads, losses, datasets, and training hyperparameters from configuration. Uses UV for environment ...

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter efficiency ...