Machine Learning with TensorFlow Object Detection Running on Docker
Offered By: Docker via YouTube
Course Description
Overview
Explore machine learning with TensorFlow Object Detection running on Docker in this 15-minute conference talk replay from the Docker Community All-Hands. Learn how to create a Docker image with TensorFlow, TF Models, Jupyter Notebook, and related dependencies for analyzing pictures using object detection. Discover the benefits of using Docker for machine learning projects, understand the TensorFlow Object Detection API, and see a live demonstration of the setup and results. Gain insights into Docker adoption and its advantages for deploying machine learning models efficiently.
Syllabus
Intro
About Me
Agenda
Docker Adoption
TensorFLow
Dockerfile
Demo
Results
Why Docker
Taught by
Docker
Related Courses
Writing II: Rhetorical ComposingOhio State University via Coursera Introducción a la visión por computador: desarrollo de aplicaciones con OpenCV.
Universidad Carlos iii de Madrid via edX Earth Imagery at Work
Esri via Independent Introduction to Artificial Intelligence (AI)
Microsoft via edX Image Analysis Methods for Biologists
The University of Nottingham via FutureLearn