- Deep learning” involves the building of learning machines from five or more layers of artificial neural networks. Yann LeCun, head of the Artificial Intelligence Research Lab at Facebook, has described the idea of deep learning as “machines that learn to represent the world.”
- The Digital Reasoning neural network easily surpassed previous records held by Google’s 11.2-billion parameter system and Lawrence Livermore National Laboratory’s 15-billion parameter system.
- It also showed improved accuracy over previous neural networks in tackling an “industry-standard dataset” consisting of 20,000 word analogies. Digital Reasoning’s model achieved an accuracy of almost 86 percent; significantly higher than Google’s previous record of just over 76 percent and Stanford University’s 75 percent.
Biggest Neural Network Ever Pushes AI Deep Learning
7. 9. 15 by Alex Klokus