Understanding Phase Transitions in Deep Network Generalization
Introduction to Deep Learning and Generalization Deep learning has emerged as a pivotal component of artificial intelligence (AI), shaping the way models learn from vast amounts of data. Defining a subset of machine learning, deep learning primarily utilizes neural networks with multiple layers to understand complex patterns present in large datasets. This approach has found […]
Understanding Phase Transitions in Deep Network Generalization Read More »