Deep learning is part of an artificial intelligence system which helps in the process of recognition. This procedure collects large amounts of data and traces them to learn more about user behavior and predicts options. Right now the two biggest functions that deep learning serves are image recognition and speech recognition. Out of these two, speech recognition has been on a good footing for quite a while whereas image recognition has faced a slouch in growth. This is no longer the case, as deep learning has made some massive jumps in technology in the past year and the results are definitely showing.
Here are some of the latest developments that deep learning has provided to image recognition software:
- Search Engines
Search engines are currently one of the leading digital mediums that uses deep learning for the purpose of image recognition. Google, being the top one, has employed one of the most accurate image search processes which are fueled primarily by the process of deep learning. Microsoft is another brand which is providing top-notch deep learning systems in their smartphones and the Bing search engine. Almost all search engines provide some sort of image recognition ability and these are now milestones ahead of what they were last year due to the deep learning processes.
