Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Martha Lambert introduces the "Observability ...

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Over a year ago, Microsoft announced that it is working with hardware vendors to offer GPU-accelerated training of machine learning (ML) models on Windows Subsystem for Linux (WSL). A preview for this ...

Over the past year, Google’s TensorFlow has asserted itself as a popular open source toolkit for deep learning. But training a TensorFlow model can be cumbersome and slow—especially when the mission ...

TensorFlow, probably the most popular of the dozen or so deep learning frameworks, is typically used to develop neural networks on small or medium-sized clusters, and sometimes on just a single ...

When the time comes to add an object recognizer to your hack, all you need do is choose from many of the available ones and retrain it for your particular objects of interest. To help with that, [Edje ...

The TPU V2 could be a huge boon to Google’s cloud computing platform The TPU V2 could be a huge boon to Google’s cloud computing platform is a Senior Producer on Decoder. Previously, he reported on ...

TensorFlow is an open-source collection of tools and libraries that helps developers build and train deep learning models. It has become one of the most widely used software frameworks since it can ...