Deep learning frameworks are software libraries that provide building blocks for designing, training, and validating deep neural networks, facilitating complex computations and efficient hardware utilization. They abstract the intricacies of mathematical operations and optimization, allowing researchers and developers to focus on model architecture and application-specific tasks.