How to Train a Deep Learning Model Using Docker

How to Train a Deep Learning Model Using Docker

Learn to train a deep learning model for melanoma classification using Docker, NVIDIA docker runtimes, and PyTorch on a single GPU. Explore the process of creating training code, installing Docker runtime, utilizing Nvidia CUDA, building Docker images, and handling data paths and volumes. Gain insights into troubleshooting common errors and saving trained models. This 21-minute video tutorial is part of a series on melanoma detection, with links provided to related videos on model training, web application development, and Dockerizing a Flask web app.