Harnessing Active Learning in Deep Learning

This chapter explores the implementation of active learning in deep learning, focusing on how enterprises can efficiently label data and improve model performance. It discusses various selection strategies to mitigate biases in datasets and emphasizes the importance of integrating labeled data back into models for optimal effectiveness. Through practical examples and tools, the chapter illustrates how active learning can enhance machine learning processes, particularly in data-intensive industries.