Mixed precision refers to the practice of using both full-precision and half-precision floating-point numbers during model training. This technique has been proven to accelerate training speed while maintaining performance accuracy.
Mixed precision refers to the practice of using both full-precision and half-precision floating-point numbers during model training. This technique has been proven to accelerate training speed while maintaining performance accuracy.
