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 ...

Use cases for deep learning in computer vision applications include automated image tagging, digital radiology analysis, agricultural crop analysis, c ...

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 ...

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