Backpropagation in CNN is one of the very difficult concept to understand. And I have seen very few people actually producing ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

One of the promises of deep learning is replacing handcrafted features with efficient algorithms for unsupervised or semi-supervised feature learning and hierarchical feature extraction. In this ...

Other good resources include Yolo Darknet, an open source object recognition toolkit engineers can take advantage of today, and this list of curated deep learning tutorials and tools on GitHub.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...