TensorFlow 3D contains state-of-the-art models for 3D deep learning with GPU acceleration. These models have a wide range of applications from 3D object detection (e.g. cars, pedestrians,etc) to point ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

While you can train simple neural networks with relatively small amounts of training data with TensorFlow, for deep neural networks with large training datasets you really need to use CUDA-capable ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The big artificial intelligence (AI) news at Google I/O today is the ...

Religious wars have been a cornerstone in tech. Whether it’s debating about the pros and cons of different operating systems, cloud providers, or deep learning frameworks — a few beers in, the facts ...

At first glance, PyTorch and TensorFlow seem almost identical: They're both free, open source machine learning frameworks that make extensive use of Python; they both benefit from large, dynamic ...

Introduction A few years ago, when I was tasked with an in-house PoC for image classification, I took sample code for ...

The UXL Foundation announced today the release of oneDNN 3.14 as the latest feature update to this library providing optimized deep learning operations for software like PyTorch, TensorFlow, OpenVINO, ...