Explore deep learning techniques and deployment strategies using MATLAB and NVIDIA technologies in this comprehensive 59-minute webinar. Dive into transfer learning workflows, GPU coding for deployment, and MATLAB to CUDA compilation. Discover how GPU Coder generates CUDA from both scalarized and vectorized MATLAB code, and learn about configurable memory management modes and shared memory synthesis for stencil operations. Examine vision algorithms and their GPU Coder speedup compared to CPU performance. Follow the journey from algorithm design to embedded deployment on NVIDIA Jetson, with practical examples including fog rectification and lane detection using modified AlexNet. Compare deep learning inference performance on Jetson TX1 and Titan Xp GPU. Gain insights into designing DNNs in MATLAB and deploying them with GPU Coder, equipping yourself with valuable skills for cutting-edge deep learning applications.