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1
Introduction
2
The library
3
Creating the training code
4
Installing the docker runtime
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Using Nvidia CUDA
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Build Docker Image
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Train Model
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Change GPU
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Train model again
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docker file
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data path
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volumes
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error
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model saved
Description:
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.

How to Train a Deep Learning Model Using Docker

Abhishek Thakur
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