Deep learning is one of the most dominant software breakthroughs. It is sweeping across many industries around the world. What makes deep learning unique is that it uses data to automate the programming process end-to-end. Deep learning takes the idea of machine learning to its logical conclusion and replaces the entire program with stages that can be trained with data. The result is that programs can be far more capable and accurate while requiring less human effort to create. In particular, the revival of deep learning methods improved the performance on many basic level tasks by leveraging large amounts of data in a learning framework. Three factors have contributed to the recent breakthroughs in deep learning are faster processor performance, larger data sets, and more complex neural networks.
The most impressive accomplishments of deep learning have been in the field of computer vision. Prior to modern deep learning, computer vision had limited commercial development. Deep learning has dramatically reduced error rates in computer vision, especially in image classification, localization, object detection, object segmentation, image colorization, and image reconstruction.
AI-innovate applies deep learning technology in a several image processing and video analytics applications, from assisting medical practitioners with computer-aided diagnosis, to detecting defects in manufacturing lines, to recognizing safety measures in jobsites.
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