Deep learning is the use of deep neural networks to perform complex tasks, powered by AI. What happens when you're ready to integrate your DL model into a business application? Or when you consider using multiple models with a variety of different tasks? This video showcases the power of the OpenVINO™ toolkit DL Workbench, which is a tool for understanding how your model works, how it's executed on the target hardware, and then preparing that model for deployment. Note: We recommend adding more cores (up to 4) and RAM (not less than 8 GB) for Docker containers on your systems if are going to work with computationally expensive models.
