Machine Learning / Artificial Intelligence
-
Optimizing Neural Network Architectures with Receptive Field Analysis
Introduction: In the highly competitive field of machine learning and artificial intelligence, optimizing neural network architectures is essential for achieving efficient and accurate models. One powerful technique for optimizing architectures is Receptive Field Analysis (RFA). RFA allows us to identify unproductive and critical layers within a neural network, enabling us to make informed decisions about…