Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This week, Facebook’s AI team introduced PyTorch 1.1 and Ax for model ...

Cross-Platform and Cross-System Flexibility: Leveraging the compatibility with mainstream AI frameworks like TensorFlow, PyTorch, ONNX and MXNet, etc. and the support of multi-tier computing chips and ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

Deep learning is changing our lives in small and large ways every day. Whether it’s Siri or Alexa following our voice commands, the real-time translation apps on our phones, or the computer vision ...

When it comes to deep learning frameworks, TensorFlow is one of the most preferred toolkits. However, one framework that is fast becoming the favorite of developers and data scientists is PyTorch.

How do you make the best out of the proliferating array of emerging custom silicon hardware while not spreading yourself thin to keep up with each and every one of them? If we were to put a price tag ...

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 ...