Using active learning to train deep learning models can effectively reduce the heavy labeling work because active learning only selects and labels the most valuable samples.

Partner Content Presented by Labelbox How much time is your machine learning team spending on labeling data — and how much of that data is actually improving model performance? Creating ...

Machine learning, deep learning, and active learning, on the other hand, are approaches used to implement AI. If AI is when a computer can carry out a set of tasks based on instruction, ML is a ...

Active learning takes advantage of control authority to improve data as it is being acquired. Robotics applications are particularly sensitive to how data is taken. For instance, machine vision is ...

Discover three ways why using active learning methods in skills transformation/digital transformation initiatives is critical.

With machine learning, Activ Surgical's autonomous model can annotate a one-hour surgical video 20,000 times faster than humans can.

Active Learning Leads to Higher Grades and Fewer Failing Students in Science, Math, and Engineering Think back to when you learned how to ride a bike.