Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of ...

Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment The importance of machine learning and deep learning is no longer in ...

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 ...

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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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Senyo Simpson discusses how Rust's core ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. TensorFlow is an open source machine learning framework developed by Google, designed to build ...

Following a rebrand of Google’s IoT OS last December, a new developer preview of Android Things is available with bug fixes and other features based on developer feedback. The most notable addition is ...

TensorFlow Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown beyond its ...