Combining Active Learning and deep learning is hard. ... Deep neural networks are computationally heavy, so you usually want to select a batch with many images to ... ... <看更多>

DeepAL: Deep Active Learning in Python · Random Sampling · Least Confidence [1] · Margin Sampling [2] · Entropy Sampling [3] · Uncertainty Sampling with Dropout ... ... <看更多>

The key idea behind active learning is that a machine learning algorithm can achieve greater accuracy with fewer training labels if it is ... ... <看更多>