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 ...

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.

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 ...

With this week's release of TensorFlow 1.0, Google has pushed the frontiers of machine learning further in a number of directions. TensorFlow isn't just for neural networks anymore ...

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 from ...

Google open-sources its machine learning platform, TensorFlow TensorFlow gives public access to the tools used by Google's machine learning team. Cassandra Khaw – Nov 10, 2015 1:15 pm | 4 ...