A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

The rapid evolution of deep learning and computer vision has revolutionized industries ranging from healthcare to autonomous systems. Following the success of the inaugural DLCV 2024(Past Name ...

We’re proud to share the complete text of O’Reilly’s new Learning Spark, 2nd Edition with you. It includes the latest updates on new features from the Apache Spark 3.0 release, to help you: ...

Generative AI has taken over much of the internet, turning a straightforward school project about Costa Rica into a lesson on discerning online fact from fiction.

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, ...

The demand for optimized inference workloads has never been more critical in deep learning. Meet Hidet, an open-source deep-learning compiler developed by a dedicated team at CentML Inc. This ...

4. Deep Learning with Python (2nd Edition) by François Chollet This book is a comprehensive and in-depth introduction to deep learning with Python.

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...

Deep multiview clustering (MVC) is to learn and utilize the rich relations across different views to enhance the clustering performance under a human-designed deep network. However, most existing deep ...

10. MXNet Closing out our list of the 10 best Python libraries for deep learning is MXNet, which is a highly scalable open-source deep learning framework. MXNet was designed to train and deploy deep ...