If you are interested in building AI powered applications PyTorch is definitely worth checking out if Deep Learning something you would ...

It offers a comprehensive course on developing deep learning models using PyTorch. It covers fundamental concepts, including Linear Regression, logistic/softmax regression, and Feedforward deep ...

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 ...

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

Learn to build a real-time sign language detection system with AI, using DETR for accessibility and innovation. Bridging ...

Full rewrite of the deep neural network API supports Keras workflows on top of the three leading machine learning frameworks.

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 ...