Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

TensorFlow bundles together a slew of machine learning and deep learning models and algorithms (aka neural networks) and makes them useful by way of common programmatic metaphors. A convenient ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

As it currently stands, the vast majority of the AI advancements and applications you hear about refer to a category of algorithms known as machine learning (see "What is machine learning?").

Machine Learning, a subset of artificial intelligence, involves the use of algorithms that enable computers to learn ... tensors - multi-dimensional arrays with a uniform type. Tensors flow between ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow ... Machine learning, also called deep learning, is considered a class of algorithms ...