Bridging the Gap: Optimizing Deep Learning for Real-World Impact In the rapidly evolving landscape of artificial intelligence, deep learning models have become indispensable tools for solving complex problems, driving advancements in fields like medical diagnosis, autonomous driving, and personalized education. However, the journey from training a state-of-the-art model in a controlled research environment to deploying
