Top 10 Deep Learning Frameworks: Features, Pros, Cons & Comparison
Introduction Deep Learning Frameworks are specialized software libraries and platforms designed to build, train, test, and deploy deep neural networks efficiently. They provide developers, data scientists, and researchers with ready-made building blocks—such as tensors, automatic differentiation, GPU acceleration, and prebuilt neural network layers—so they can focus on solving real problems instead of low-level mathematical implementation….
