Google open-sources its TensorFlow “deep learning” engine

TensorFlow, a library of algorithms allows Google to train computer systems, called “neural networks, ” to think in ways similar to the manner in which humans do. Computations are done in a data flow graph where the nodes are mathematical operations and the edges are tensors (multidimensional data arrays) that are exchanged between nodes. While performing these operations, the “neural networks” discover patterns and relationships as they absorb all the available information. Being from Google, advocates of open-source, the move should lead to more intelligent machine-learning systems and help to advance the complicated science much faster than recent years using the input of a large pool of developers and users. If more data scientists start using Google’s system for machine learning research, that gives Google more control over the growing…


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