Objective

The objective of this experiment is to understand and implement mixed precision training and quantization aware training to improve the efficiency and performance of deep learning models. By using reduced-precision arithmetic and quantization techniques, we can speed up the training process and make it less resource-intensive while maintaining model accuracy.