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 ...

Overview:  PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In 2018, Google introduced accelerated linear algebra (XLA), an ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludovic Henry explains how RISC-V's open ...

Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the ...

This post will show how to install PyTorch on your Windows 11 device. PyTorch is an open-source machine learning library used for a wide range of tasks in the field of artificial intelligence and ...

PyTorch has identified a malicious dependency with the same name as the framework's 'torchtriton' library. This has led to a successful compromise via the dependency confusion attack vector. PyTorch ...

A nightly build version of a machine-learning framework dependency has been compromised. The package ran malicious code on affected systems and stole data from unsuspecting users. Image: ...