TensorFlow was originally a deep learning research project of the Google Brain Team that has since become–by way of collaboration with 50 teams at Google–an open source library deployed across ...

Applying machine learning algorithms and libraries: Standard implementations of machine learning algorithms are available through libraries, packages, and APIs (such as scikit-learn, Theano, Spark ...

Cheat Sheet: 5 Things Everyone Should Know About Machine Learning. ... A machine learning algorithm is given a “teaching set” of data, then asked to use that data to answer a question.

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

Google is announcing TensorFlow, its open ­source platform for machine learning, giving anyone a computer and internet connection (and casual background in deep learning algorithms) access to one of ...

Google’s TensorFlow team released TensorFlow Lattice today to help developers ensure that their machine learning models adhere to global trends even when training data is noisy. Lattice draws ...

Google announced yesterday that its Deep Learning algorithm, TensorFlow, has been open-sourced. According to Google, this is the second generation machine learning algorithm, with the first one ...

This article explores TensorFlow's capabilities within the robust and flexible environment of Ubuntu, a popular operating system known for its stability and performance. Machine Learning, a subset of ...

That began to change with the release of a number of open-source machine learning frameworks like Theano, Spark ML, Microsoft's CNTK, and Google's TensorFlow. Among them, TensorFlow stands out for ...

The Machine Learning Algorithm Cheat Sheet is a good place to start when picking a model. Check out this article to understand how best to use the cheat sheet.