Computer-implemented inventions

Deep learning is one of the foundations of artificial inteligence. It is used to classify images, recognize speech, detect objects and describe content. Several developments are now advancing deep learning:

• Algorithmic improvements have boosted the performance of deep learning methods.
• New machine learning approaches have improved accuracy of models. 
• New classes of neural networks have been developed that fit well for applications like text translation and image classification. 
• We have a lot more data available to build neural networks with many deep layers.
• Computational advances of distributed cloud computing and graphics processing units have put incredible computing power at our disposal. This level of computing power is necessary to train deep algorithms.