A deep learning framework is a software library or toolkit that provides building blocks for designing, training, and deploying neural networks. It abstracts low-level numerical operations and hardware details, enabling researchers and engineers to focus on model architecture and experimentation. Deep learning frameworks matter because they dramatically accelerate AI development, standardize best practices, and provide optimized performance on modern accelerators like GPUs and TPUs.
by Various (generic category, not a single vendor)
Most leading deep learning frameworks (e.g., TensorFlow, PyTorch, JAX, MXNet) are open source and free to use, though commercial cloud providers may charge for managed services built on top of them.