The process of data annotation is a fundamental challenge for artificial intelligence, as it is well-known that neural networks require a large number of accurately labeled training examples to learn effectively. This bottleneck limits the applicability of deep learning to many domains. In order to address this challenge, a number of new approaches have been…
Tag: training
Transfer learning
Transfer learning is a technique that can be used to speed up the training of machine learning models and improve their accuracy. The current state of AI technology requires that data be manually labeled in order for machines to learn from it. This process is both time-consuming and expensive. Additionally, it limits the types of…